text:
when i run "./launchers/eval.sh config/yolo_stereo.py 0 checkpoint/Stereo3D_latest.pth validation" or on test data

当在测试集和验证集跑数据的时候，都会出现如下问题，不理解为什么NMS的输入的分数和检测框的长度会有不同
CUDA available: True
pickle/Stereo3D/output/test/imdb.pkl
Found evaluate function
clean up the recorder directory of pickle/Stereo3D/output/test/data
rebuild pickle/Stereo3D/output/test/data
0%|                                                                                | 0/7518 [00:00<?, ?it/s]/home/lishengwen/code/visualDet3D/visualDet3D/networks/lib/PSM_cost_volume.py:82: UserWarning: volatile was removed and now has no effect. Use with torch.no_grad(): instead.
cost = Variable(
PSM Cos Volume takes 0.002985239028930664 seconds at call time 1
/home/lishengwen/code/visualDet3D/visualDet3D/networks/lib/PSM_cost_volume.py:49: UserWarning: volatile was removed and now has no effect. Use with torch.no_grad(): instead.
cost = Variable(
0%|                                                                                | 1/7518 [00:00<43:24,  2.89it/s]PSM Cos Volume takes 0.0035042762756347656 seconds at call time 2
PSM Cos Volume takes 0.0029206275939941406 seconds at call time 3
Cost Volume takes 0.0025892257690429688 seconds at call time 1
0%|                                                                                | 2/7518 [00:00<29:20,  4.27it/s]PSM Cos Volume takes 0.0034818649291992188 seconds at call time 4
PSM Cos Volume takes 0.002855062484741211 seconds at call time 5
Cost Volume takes 0.0025739669799804688 seconds at call time 2
0%|                                                                                | 3/7518 [00:00<23:13,  5.39it/s]PSM Cos Volume takes 0.0034427642822265625 seconds at call time 6
PSM Cos Volume takes 0.0028700828552246094 seconds at call time 7
Cost Volume takes 0.002550363540649414 seconds at call time 3
0%|                                                                                | 4/7518 [00:00<21:47,  5.75it/s]PSM Cos Volume takes 0.0047397613525390625 seconds at call time 8
PSM Cos Volume takes 0.005141258239746094 seconds at call time 9
Cost Volume takes 0.00797271728515625 seconds at call time 4
0%|                                                                                | 5/7518 [00:00<22:43,  5.51it/s]PSM Cos Volume takes 0.003518819808959961 seconds at call time 10
PSM Cos Volume takes 0.002848386764526367 seconds at call time 11
Cost Volume takes 0.0024688243865966797 seconds at call time 5
0%|                                                                                | 6/7518 [00:01<22:04,  5.67it/s]PSM Cos Volume takes 0.004822254180908203 seconds at call time 12
PSM Cos Volume takes 0.003919839859008789 seconds at call time 13
Cost Volume takes 0.007089376449584961 seconds at call time 6
0%|                                                                                | 7/7518 [00:01<22:03,  5.67it/s]PSM Cos Volume takes 0.0034933090209960938 seconds at call time 14
PSM Cos Volume takes 0.0028336048126220703 seconds at call time 15
Cost Volume takes 0.0024688243865966797 seconds at call time 7
0%|▏                                                                                | 8/7518 [00:01<20:27,  6.12it/s]PSM Cos Volume takes 0.0042951107025146484 seconds at call time 16
PSM Cos Volume takes 0.005505800247192383 seconds at call time 17
Cost Volume takes 0.010698080062866211 seconds at call time 8
0%|▏                                                                                | 9/7518 [00:01<21:04,  5.94it/s]PSM Cos Volume takes 0.0034551620483398438 seconds at call time 18
PSM Cos Volume takes 0.002899646759033203 seconds at call time 19
Cost Volume takes 0.0024847984313964844 seconds at call time 9
2%|██▉                                                                                | 178/7518 [00:26<17:56,  6.82it/s]
Traceback (most recent call last):
File "scripts/eval.py", line 55, in
fire.Fire(main)
File "/home/lishengwen/anaconda3/envs/visualDet3D/lib/python3.8/site-packages/fire/core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/home/lishengwen/anaconda3/envs/visualDet3D/lib/python3.8/site-packages/fire/core.py", line 466, in _Fire
component, remaining_args = _CallAndUpdateTrace(
File "/home/lishengwen/anaconda3/envs/visualDet3D/lib/python3.8/site-packages/fire/core.py", line 681, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "scripts/eval.py", line 52, in main
evaluate_detection(cfg, detector, dataset, None, 0, result_path_split=split_to_test)
File "/home/lishengwen/anaconda3/envs/visualDet3D/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 26, in decorate_context
return func(*args, **kwargs)
File "/home/lishengwen/code/visualDet3D/visualDet3D/networks/pipelines/evaluators.py", line 85, in evaluate_kitti_obj
test_one(cfg, index, dataset_val, model, test_func, backprojector, projector, result_path)
File "/home/lishengwen/code/visualDet3D/visualDet3D/networks/pipelines/evaluators.py", line 111, in test_one
scores, bbox, obj_names = test_func(collated_data, model, None, cfg=cfg)
File "/home/lishengwen/anaconda3/envs/visualDet3D/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 26, in decorate_context
return func(*args, **kwargs)
File "/home/lishengwen/code/visualDet3D/visualDet3D/networks/pipelines/testers.py", line 39, in test_stereo_detection
scores, bbox, obj_index = module([left_images.cuda().float().contiguous(), right_images.cuda().float().contiguous(), torch.tensor(P2).cuda().float(), torch.tensor(P3).cuda().float()])
File "/home/lishengwen/anaconda3/envs/visualDet3D/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/lishengwen/code/visualDet3D/visualDet3D/networks/detectors/yolostereo3d_detector.py", line 103, in forward
return self.test_forward(*inputs)
File "/home/lishengwen/code/visualDet3D/visualDet3D/networks/detectors/yolostereo3d_detector.py", line 93, in test_forward
scores, bboxes, cls_indexes = self.bbox_head.get_bboxes(cls_preds, reg_preds, anchors, P2, left_images)
File "/home/lishengwen/code/visualDet3D/visualDet3D/networks/heads/detection_3d_head.py", line 385, in get_bboxes
keep_inds = nms(bboxes[:, :4], max_score, nms_iou_thr)
File "/home/lishengwen/anaconda3/envs/visualDet3D/lib/python3.8/site-packages/torchvision/ops/boxes.py", line 42, in nms
return torch.ops.torchvision.nms(boxes, scores, iou_threshold)
RuntimeError: boxes and scores should have same number of elements in dimension 0, got 495 and 494

我在detection_3d_head.py的379行添加了如下代码可以正常运行，
bboxes = bboxes[mask]
没有理解mask的功能是什么，可以成功运行后在验证集上的结果为如下，与论文中的结果差异不大，
Car AP(Average Precision)@0.70, 0.70, 0.70:
bbox AP:99.96, 99.93, 74.94
bev  AP:71.80, 54.20, 41.43
3d   AP:66.47, 50.18, 38.01
aos  AP:97.60, 97.59, 73.19
Car AP(Average Precision)@0.70, 0.50, 0.50:
bbox AP:99.96, 99.93, 74.94
bev  AP:93.91, 83.89, 62.34
3d   AP:93.68, 81.27, 61.95
aos  AP:97.60, 97.59, 73.19
Pedestrian AP(Average Precision)@0.50, 0.50, 0.50:
bbox AP:86.69, 85.33, 71.21
bev  AP:25.19, 25.81, 21.82
3d   AP:24.35, 25.09, 19.95
aos  AP:85.96, 84.31, 70.28
Pedestrian AP(Average Precision)@0.50, 0.25, 0.25:
bbox AP:86.69, 85.33, 71.21
bev  AP:78.79, 72.69, 60.73
3d   AP:78.12, 72.16, 60.27
aos  AP:85.96, 84.31, 70.28

This is actually a known bug as an insider.
During precomputing, we gather statistics for each anchor shape, anchors of some shapes do not match any of the target object in the training set (like pedestrians & the wide anchors), and fail to gather a reasonable statistics. We only use these anchors during training/testing and there comes the mask.
In most cases / random seeds, these anchors will naturally be suppressed and hardly produce predictions after nms / thresholding. So, this bug "usually" does not appear.

This is actually a known bug as an insider.
During precomputing, we gather statistics for each anchor shape, anchors of some shapes do not match any of the target object in the training set (like pedestrians & the wide anchors), and fail to gather a reasonable statistics. We do not use these anchors during inferencing and there comes the mask.
In most cases / random seeds, these anchors will naturally be suppressed and hardly produce predictions after nms / thresholding. So, this bug "usually" does not appear.

那我直接使用kitti数据集进行测试为什么会出现这个问题呢，，，我使用的验证集和测试集应该是和大家一样的，
如果添加这行代码“bboxes = bboxes[mask]”的话可以在不影响结果的情况下解决这个问题么

This is actually a known bug as an insider.
During precomputing, we gather statistics for each anchor shape, anchors of some shapes do not match any of the target object in the training set (like pedestrians & the wide anchors), and fail to gather a reasonable statistics. We do not use these anchors during inferencing and there comes the mask.
In most cases / random seeds, these anchors will naturally be suppressed and hardly produce predictions after nms / thresholding. So, this bug "usually" does not appear.

那我直接使用kitti数据集进行测试为什么会出现这个问题呢，，，我使用的验证集和测试集应该是和大家一样的， 如果添加这行代码“bboxes = bboxes[mask]”的话可以在不影响结果的情况下解决这个问题么

其实你加这行代码就是正确解决这个bug的。我前面回复的意思就是在网络训练情况比较充分的时候大概率(不同随机初始化、不同随机开始训练情况不同)这个bug不会触发，但是你加的这个代码可以让这个bug逻辑上不会再发生。

谢谢解答，明白了😊

authors: Owen-Liuyuxuan monsters-s


text:
Resizing console window causes status bar to stay off screen

The only way to see the full status bar again is to resize the console back to the size you originally resized it to.

---
Want to back this issue? **[Post a bounty on it!](https://www.bountysource.com/issues/26106269-resizing-console-window-causes-status-bar-to-stay-off-screen?utm_campaign=plugin&utm_content=tracker%2F6855523&utm_medium=issues&utm_source=github)** We accept bounties via [Bountysource](https://www.bountysource.com/?utm_campaign=plugin&utm_content=tracker%2F6855523&utm_medium=issues&utm_source=github).

It seems to happen for any console that hasn't used up the initial whitespace at the top of the console.

source: gharchive/issue

repo: OxideMod/Oxide

license: mit

license_type: permissive

license_source: bigquery


text:
Add a pull request template

Currently, zbunker-website doesn't have a pull request template. Would be a great issue for the beginners and first time contributors.

hey please assign this to me.

Hey @TusharSharmaIN , Thanks for your interest. Sure thing. I am assigning you this task.

The issue has been addressed in #95

license: MIT

license_source: github-api


text:
services submission pages

add a link to tutorials and sample data set so that users can refer it.

Most tools and pages on the public site has one line description of the tool / functionality and then link to the FAQs / tutorial. We need to add them for all services/tools/pages on the beta site as well.
For example, below is the message on the ID Mapping tool in the production site:
"The ID Mapping Tool enables researchers to locate synonymous identifiers across multiple-source databases. For further explanation, please see ID Mapping Tool User Guide."

@hyoo can we close this ticket now?

I would like to add some intro line at top. I will take care of them.

Now, all service submission pages have a description and links to user guide and tutorial.

authors: dawenx hyoo mshukla1


text:
Colorcode prefix not working.

I have tested a couple of configurations but I can't seem to get colorcodes to work with the newest sponge version. I have used the exact same .json file as in a version earlier where it still worked.
Then I have deleted the whole permissions.json file so the server created a new one upon start.
All I did then was entering the following command:
/pex user Bob option prefix &7[&5Test&7]
But the user "Bob" still has no colored prefix ingame.
All rights I set for the user seem to work.
The JSON permissions file:
http://pastebin.com/dzjf30Ln
The mods/plugins:
forge-1.8.9-11.15.1.1722-universal
spongeforge-1.8.9-1722-3.1.0-BETA-1104
PermissionsEx-Sponge (PermissionsEx v2.0 [API 3.0])

You need a chat plugin to apply the prefixes

Oh thats my bad, sorry to have bother you.
Thanks for the info!

repo: PEXPlugins/PermissionsEx


text:
Added from_csv and to_csv functions

This is for issue#31
I have added two functions in cleverdict.py file to handle creation of CleverDict from csv files and exporting of CleverDict objects into csv files. The CleverDicts created with from_csv function will be a nested CleverDict where top level dict will be indexed from 0 and each row will be converted to a CleverDict object, allowing people to use it like a list of dicts. For example:
>>> c_dict = CleverDict.from_csv('test.csv')
>>> print(c_dict[0].name)
Banana
>>> print(c_dict._0.name)
Banana

The to_csv function requires a similarly formatted CleverDict of CleverDicts and each underlying cleverdict is exported as a row, allowing the use of ignore, only parameters.
Ample tests have also been added in the existing tests file.
The code has been tested under Python 3.7 on Linux and 3.9 on Windows and all tests pass successfully.
I have made use of the csv library to read and write csv files.

This is brilliant thanks so much Gourav.  Please bear with me while I have a good look through before merging officially.  All the best, Pete

Hi. Any update on this? Do I need to make any changes?

source: gharchive/pull-request

authors: PFython gouravkr

repo: PFython/cleverdict


text:
Crash when trying to create/open world.

OTG Plugin or Mod
[Please specify if it's about Forge Mod or Spigot server Plugin placing "x" into []]

[x ] OTG Mod for Forge
[ ] OTG Plugin for Spigot

OTG Version
[Please specify the full OTG version that you are running by placing "x" into []]

[x ] 1.12.2_v8_r1
[ ] 1.12.2_v7_DEV_r26
[ ] 1.12.2-v6
[ ] 1.12.2-v5
[ ] 1.11.2-v8
[ ] 1.11.2-v9
[ ] 1.10.2-v21
[ ] Other - specify here

Forge or Spigot Versions
[release 1.12.2-forge1.12.2-14.23.5.2796]
Server/Client Log
Crash one: Time: 2020-02-20 18:43:43 CST
Description: Exception in server tick loop
java.lang.RuntimeException: Tried to register biome openterraingenerator:overworld_frozen_forest to a id 64 but it is occupied by biome: fossil:lair of darkness. This can happen when using the CustomBiomes setting in the world config or when changing mod/biome configurations for previously created worlds. OTG 1.12.2 v7 and above use dynamic biome id's for new worlds, this avoids the problem completely.
at com.pg85.otg.forge.biomes.ForgeBiomeRegistryManager.registerForgeBiomeWithId(ForgeBiomeRegistryManager.java:436)
at com.pg85.otg.forge.biomes.ForgeBiomeRegistryManager.getOrCreateBiome(ForgeBiomeRegistryManager.java:126)
at com.pg85.otg.forge.ForgeWorld.createBiomeFor(ForgeWorld.java:429)
at com.pg85.otg.network.ServerConfigProvider.createAndRegisterBiome(ServerConfigProvider.java:632)
at com.pg85.otg.network.ServerConfigProvider.indexSettings(ServerConfigProvider.java:507)
at com.pg85.otg.network.ServerConfigProvider.loadBiomes(ServerConfigProvider.java:208)
at com.pg85.otg.network.ServerConfigProvider.loadSettings(ServerConfigProvider.java:134)
at com.pg85.otg.network.ServerConfigProvider.(ServerConfigProvider.java:74)
at com.pg85.otg.forge.world.WorldLoader.getOrCreateForgeWorld(WorldLoader.java:362)
at com.pg85.otg.forge.world.OTGWorldType.getBiomeProvider(OTGWorldType.java:146)
at net.minecraft.world.WorldProvider.init(WorldProvider.java:58)
at net.minecraft.world.WorldProvider.setWorld(WorldProvider.java:40)
at net.minecraft.world.WorldServer.(WorldServer.java:116)
at net.minecraft.server.integrated.IntegratedServer.loadAllWorlds(IntegratedServer.java:132)
at net.minecraft.server.integrated.IntegratedServer.init(IntegratedServer.java:233)
at net.minecraft.server.MinecraftServer.run(MinecraftServer.java:486)
at java.lang.Thread.run(Thread.java:745)
A detailed walkthrough of the error, its code path and all known details is as follows:
-- System Details --
Minecraft Version: 1.12.2
Operating System: Windows 10 (amd64) version 10.0
Java Version: 1.8.0_51, Oracle Corporation
Java VM Version: Java HotSpot(TM) 64-Bit Server VM (mixed mode), Oracle Corporation
Memory: 2200052688 bytes (2098 MB) / 3992977408 bytes (3808 MB) up to 6408896512 bytes (6112 MB)
JVM Flags: 7 total; -XX:HeapDumpPath=MojangTricksIntelDriversForPerformance_javaw.exe_minecraft.exe.heapdump -XX:+UseG1GC -XX:+UnlockExperimentalVMOptions -XX:G1NewSizePercent=20 -XX:G1ReservePercent=20 -XX:MaxGCPauseMillis=50 -XX:G1HeapRegionSize=32M
IntCache: cache: 0, tcache: 0, allocated: 0, tallocated: 0
FML: MCP 9.42 Powered by Forge 14.23.5.2796 Optifine OptiFine_1.12.2_HD_U_F4 77 mods loaded, 77 mods active
States: 'U' = Unloaded 'L' = Loaded 'C' = Constructed 'H' = Pre-initialized 'I' = Initialized 'J' = Post-initialized 'A' = Available 'D' = Disabled 'E' = Errored
   | State  | ID                   | Version                 | Source                                             | Signature                                |
   |:------ |:-------------------- |:----------------------- |:-------------------------------------------------- |:---------------------------------------- |
   | LCHIJA | minecraft            | 1.12.2                  | minecraft.jar                                      | None                                     |
   | LCHIJA | mcp                  | 9.42                    | minecraft.jar                                      | None                                     |
   | LCHIJA | FML                  | 8.0.99.99               | forge-1.12.2-14.23.5.2796.jar                      | e3c3d50c7c986df74c645c0ac54639741c90a557 |
   | LCHIJA | forge                | 14.23.5.2796            | forge-1.12.2-14.23.5.2796.jar                      | e3c3d50c7c986df74c645c0ac54639741c90a557 |
   | LCHIJA | otgcore              | 1.12.2 - v8.3           | minecraft.jar                                      | None                                     |
   | LCHIJA | foamfixcore          | 7.7.4                   | minecraft.jar                                      | None                                     |
   | LCHIJA | aether_legacy        | 1.4.4                   | aether_legacy-1.12.2-v1.4.4.jar                    | None                                     |
   | LCHIJA | ambientsounds        | 3.0                     | AmbientSounds_v3.0.9_mc1.12.2.jar                  | None                                     |
   | LCHIJA | jei                  | 4.14.2.236              | jei_1.12.2-4.14.2.236.jar                          | None                                     |
   | LCHIJA | appleskin            | 1.0.9                   | AppleSkin-mc1.12-1.0.9.jar                         | None                                     |
   | LCHIJA | appliedenergistics2  | rv5-stable-11           | appliedenergistics2-rv5-stable-11.jar              | None                                     |
   | LCHIJA | quark                | r1.5-134                | Quark-r1.5-134.jar                                 | None                                     |
   | LCHIJA | autoreglib           | 1.3-20                  | AutoRegLib-1.3-20.jar                              | None                                     |
   | LCHIJA | codechickenlib       | 3.2.2.353               | CodeChickenLib-1.12.2-3.2.2.353-universal.jar      | f1850c39b2516232a2108a7bd84d1cb5df93b261 |
   | LCHIJA | avaritia             | 3.3.0                   | Avaritia-1.12.2-3.3.0.33-universal.jar             | None                                     |
   | LCHIJA | backpacks16840       | 3.5.0                   | backpacks+1.12.2+-+3.5.0.jar                       | None                                     |
   | LCHIJA | baubles              | 1.5.2                   | Baubles-1.12-1.5.2.jar                             | None                                     |
   | LCHIJA | openterraingenerator | v8.3                    | OpenTerrainGenerator-1.12.2+-+v8.3.jar             | None                                     |
   | LCHIJA | biomebundle          | 5.1                     | Biome_Bundle-1.12.2-v6.1.jar                       | None                                     |
   | LCHIJA | thaumcraft           | 6.1.BETA26              | Thaumcraft-1.12.2-6.1.BETA26.jar                   | None                                     |
   | LCHIJA | botania              | r1.10-361               | Botania+r1.10-361.jar                              | None                                     |
   | LCHIJA | redstoneflux         | 2.0.2                   | RedstoneFlux-1.12-2.0.2.3-universal.jar            | 8a6abf2cb9e141b866580d369ba6548732eff25f |
   | LCHIJA | brandonscore         | 2.4.17                  | BrandonsCore-1.12.2-2.4.17.208-universal.jar       | None                                     |
   | LCHIJA | chickenchunks        | 2.4.1.73                | ChickenChunks-1.12.2-2.4.1.73-universal.jar        | f1850c39b2516232a2108a7bd84d1cb5df93b261 |
   | LCHIJA | chiselsandbits       | 14.7                    | chiselsandbits-14.7.jar                            | None                                     |
   | LCHIJA | cofhcore             | 4.5.3                   | CoFHCore-1.12.2-4.5.3.20-universal.jar             | None                                     |
   | LCHIJA | cofhworld            | 1.2.0                   | CoFHWorld-1.12.2-1.2.0.5-universal.jar             | 8a6abf2cb9e141b866580d369ba6548732eff25f |
   | LCHIJA | crafttweaker         | 4.1.20                  | CraftTweaker2-1.12-4.1.20.jar                      | None                                     |
   | LCHIJA | ctgui                | 1.0.0                   | CraftTweaker2-1.12-4.1.20.jar                      | None                                     |
   | LCHIJA | crafttweakerjei      | 2.0.3                   | CraftTweaker2-1.12-4.1.20.jar                      | None                                     |
   | LCHIJA | thermalfoundation    | 2.5.0                   | ThermalFoundation-1.12.2-2.5.0.19-universal.jar    | 8a6abf2cb9e141b866580d369ba6548732eff25f |
   | LCHIJA | draconicevolution    | 2.3.24                  | Draconic-Evolution-1.12.2-2.3.24.349-universal.jar | None                                     |
   | LCHIJA | orelib               | 3.6.0.1                 | OreLib-1.12.2-3.6.0.1.jar                          | 7a2128d395ad96ceb9d9030fbd41d035b435753a |
   | LCHIJA | dsurround            | 3.6.0.2                 | DynamicSurroundings-1.12.2-3.6.0.2 (1).jar         | 7a2128d395ad96ceb9d9030fbd41d035b435753a |
   | LCHIJA | ebwizardry           | 4.1.4                   | Electroblob's+Wizardry+-+4.1.4+-+MC+1.12.2.jar     | None                                     |
   | LCHIJA | embers               | 0.230                   | embers-0.230.jar                                   | None                                     |
   | LCHIJA | endercore            | 1.12.2-0.5.22           | EnderCore-1.12.2-0.5.22.jar                        | None                                     |
   | LCHIJA | enderutilities       | 0.7.11                  | enderutilities-1.12.2-0.7.11.jar                   | 2b03e1423915a189b8094816baa18f239d576dff |
   | LCHIJA | familiarfauna        | 1.0.10                  | FamiliarFauna-1.12.2-1.0.10.jar                    | None                                     |
   | LCHIJA | foamfix              | 0.10.10-1.12.2          | foamfix-0.10.10-1.12.2.jar                         | None                                     |
   | LCHIJA | llibrary             | 1.7.19                  | llibrary-1.7.19-1.12.2.jar                         | b9f30a813bee3b9dd5652c460310cfcd54f6b7ec |
   | LCHIJA | fossil               | 8.0.3                   | fossilsarcheology-8.0.3.jar                        | None                                     |
   | LCHIJA | futureminecraf       | 1.2.2                   | FutureVersionsV1.2.2.jar                           | None                                     |
   | LCHIJA | hammercore           | 2.0.4.7                 | HammerCore-1.12.2-2.0.4.7.jar                      | 4d7b29cd19124e986da685107d16ce4b49bc0a97 |
   | LCHIJA | hardcorequesting     | @VERSION@               | HQM-1.12-5.4.0.jar                                 | None                                     |
   | LCHIJA | waila                | 1.8.26                  | Hwyla-1.8.26-B41_1.12.2.jar                        | None                                     |
   | LCHIJA | icbmclassic          | 1.12.2-3.3.0.55         | ICBM-classic-1.12.2-3.3.0b55.jar                   | None                                     |
   | LCHIJA | ichunutil            | 7.1.4                   | iChunUtil-1.12.2-7.1.4.jar                         | None                                     |
   | LCHIJA | mts                  | 15.7.0                  | Immersive+Vehicles-1.12.2-15.7.0.jar               | None                                     |
   | LCHIJA | journeymap           | 1.12.2-5.5.9            | journeymap-1.12.2-5.5.9.jar                        | None                                     |
   | LCHIJA | mantle               | 1.12-1.3.3.55           | Mantle-1.12-1.3.3.55.jar                           | None                                     |
   | LCHIJA | mcjtylib_ng          | 2.6.7                   | mcjtylib-1.12-2.6.7.jar                            | None                                     |
   | LCHIJA | mcwbridges           | 1.0                     | mcw-bridges-1.0.2-mc1.12.2.jar                     | None                                     |
   | LCHIJA | mekanism             | 1.12.2-9.8.3.390        | Mekanism-1.12.2-9.8.3.390.jar                      | None                                     |
   | LCHIJA | millenaire           | Millénaire 8.0.1        | millenaire-1.12.2-8.0.1.jar                        | None                                     |
   | LCHIJA | mowziesmobs          | 1.5.4                   | mowziesmobs-1.5.4.jar                              | None                                     |
   | LCHIJA | naturescompass       | 1.5.1                   | NaturesCompass-1.12.2-1.5.1.jar                    | None                                     |
   | LCHIJA | neid                 | 1.5.4.4                 | NotEnoughIDs-1.5.4.4.jar                           | None                                     |
   | LCHIJA | nei                  | 2.4.2                   | NotEnoughItems-1.12.2-2.4.2.240-universal.jar      | f1850c39b2516232a2108a7bd84d1cb5df93b261 |
   | LCHIJA | notenoughscaffold    | 1.8                     | NotEnoughScaffold-1.12.2-1.8.jar                   | None                                     |
   | LCHIJA | thermalexpansion     | 5.5.0                   | ThermalExpansion-1.12.2-5.5.0.29-universal.jar     | 8a6abf2cb9e141b866580d369ba6548732eff25f |
   | LCHIJA | omlib                | 3.0.1-162               | omlib-1.12.2-3.0.1-162.jar                         | None                                     |
   | LCHIJA | openmodularturrets   | 3.0.1-264               | openmodularturrets-1.12.2-3.0.1-264.jar            | None                                     |
   | LCHIJA | oreexcavation        | 1.4.109                 | OreExcavation-1.4.109.jar                          | None                                     |
   | LCHIJA | oreveins             | 2.0.2                   | oreveins-2.0.2.jar                                 | None                                     |
   | LCHIJA | roots                | 0.103                   | roots-2-0.103.jar                                  | None                                     |
   | LCHIJA | solarflux            | 4.35r                   | SolarFluxReborn_1.12.2-4.35r.jar                   | 4d7b29cd19124e986da685107d16ce4b49bc0a97 |
   | LCHIJA | soundfilters         | 0.10_for_1.12           | SoundFilters-0.10_for_1.12.jar                     | None                                     |
   | LCHIJA | thermaldynamics      | 2.5.1                   | ThermalDynamics-1.12.2-2.5.1.14-universal.jar      | 8a6abf2cb9e141b866580d369ba6548732eff25f |
   | LCHIJA | torohealthmod        | 1.12.1-11               | torohealth-1.12.1-11.jar                           | None                                     |
   | LCHIJA | trackapi             | 1.1                     | TrackAPI-1.1_1.12.jar                              | None                                     |
   | LCHIJA | twilightforest       | 3.8.689                 | twilightforest-1.12.2-3.8.689-universal.jar        | None                                     |
   | LCHIJA | vanillafix           | 1.0.10-SNAPSHOT         | VanillaFix-1.0.10-99.jar                           | None                                     |
   | LCHIJA | waystones            | 4.0.15                  | Waystones_1.12.1-4.0.15.jar                        | None                                     |
   | LCHIJA | immersiveengineering | 0.12-89                 | ImmersiveEngineering-0.12-89.jar                   | 4cb49fcde3b43048c9889e0a3d083225da926334 |
   | LCHIJA | structurize          | 1.12.2-0.10.198-ALPHA   | structurize-1.12.2-0.10.198-ALPHA.jar              | None                                     |
   | LCHIJA | minecolonies         | 1.12.2-0.10.714-RELEASE | minecolonies-1.12.2-0.10.714-RELEASE-universal.jar | None                                     |

Loaded coremods (and transformers): Plugin (NotEnoughIDs-1.5.4.4.jar)
ru.fewizz.neid.asm.Transformer
llibrary (llibrary-core-1.0.11-1.12.2.jar)
net.ilexiconn.llibrary.server.core.plugin.LLibraryTransformer
net.ilexiconn.llibrary.server.core.patcher.LLibraryRuntimePatcher
IELoadingPlugin (ImmersiveEngineering-core-0.12-89.jar)
blusunrize.immersiveengineering.common.asm.IEClassTransformer
LoadingPlugin (Quark-r1.5-134.jar)
vazkii.quark.base.asm.ClassTransformer
HCASM (HammerCore-1.12.2-2.0.4.7.jar)
com.zeitheron.hammercore.asm.HammerCoreTransformer
TransformLoader (DynamicSurroundings-1.12.2-3.6.0.2 (1).jar)
                                  BCModPlugin (backpacks+1.12.2+-+3.5.0.jar)
                                    brad16840.core.ClassTransformer
                                  MekanismCoremod (Mekanism-1.12.2-9.8.3.390.jar)
                                    mekanism.coremod.KeybindingMigrationHelper
                                  OTGCorePlugin (OTG-Core.jar)
                                    com.pg85.otg.forge.asm.excluded.OTGClassTransformer
                                  VanillaFixLoadingPlugin (VanillaFix-1.0.10-99.jar)

                                  Do not report to Forge! (If you haven't disabled the FoamFix coremod, try disabling it in the config! Note that this bit of text will still appear.) (foamfix-0.10.10-1.12.2.jar)
                                    pl.asie.foamfix.coremod.FoamFixTransformer
                                  EnderCorePlugin (EnderCore-1.12.2-0.5.22.jar)
                                    com.enderio.core.common.transform.EnderCoreTransformer

GL info: ERROR RuntimeException: No OpenGL context found in the current thread.
AE2 Version: stable rv5-stable-11 for Forge 14.23.1.2554
Hammer Core Information: FluidDictionary Info: Registered 2 fluids.
OreDictionary Info: Registered 1000 names; 1610 stacks.
Pastebin Connection: Okay.
Dependent Mods: None.
AE2 Integration: IC2:OFF, RC:OFF, MFR:OFF, Waila:ON, InvTweaks:OFF, JEI:ON, Mekanism:ON, OpenComputers:OFF, THE_ONE_PROBE:OFF, TESLA:OFF, CRAFTTWEAKER:ON
Suspected Mods: Open Terrain Generator (openterraingenerator)
Profiler Position: N/A (disabled)
Player Count: 0 / 8; []
Type: Integrated Server (map_client.txt)
Is Modded: Definitely; Client brand changed to 'fml,forge'
Client Crashes Since Restart: 0
Integrated Server Crashes Since Restart: 1
Crash Two:
Time: 2020-02-20 18:44:26 CST
Description: Exception in server tick loop
java.lang.NullPointerException
at com.pg85.otg.configuration.biome.BiomeGroup.processBiomeData(BiomeGroup.java:106)
at com.pg85.otg.configuration.biome.BiomeGroupManager.processBiomeData(BiomeGroupManager.java:176)
at com.pg85.otg.network.ServerConfigProvider.loadSettings(ServerConfigProvider.java:138)
at com.pg85.otg.network.ServerConfigProvider.(ServerConfigProvider.java:74)
at com.pg85.otg.forge.world.WorldLoader.getOrCreateForgeWorld(WorldLoader.java:362)
at com.pg85.otg.forge.world.OTGWorldType.getBiomeProvider(OTGWorldType.java:146)
at net.minecraft.world.WorldProvider.init(WorldProvider.java:58)
at net.minecraft.world.WorldProvider.setWorld(WorldProvider.java:40)
at net.minecraft.world.WorldServer.(WorldServer.java:116)
at net.minecraft.server.integrated.IntegratedServer.loadAllWorlds(IntegratedServer.java:132)
at net.minecraft.server.integrated.IntegratedServer.init(IntegratedServer.java:233)
at net.minecraft.server.MinecraftServer.run(MinecraftServer.java:486)
at java.lang.Thread.run(Thread.java:745)
A detailed walkthrough of the error, its code path and all known details is as follows:
-- System Details --
Minecraft Version: 1.12.2
Operating System: Windows 10 (amd64) version 10.0
Java Version: 1.8.0_51, Oracle Corporation
Java VM Version: Java HotSpot(TM) 64-Bit Server VM (mixed mode), Oracle Corporation
Memory: 2834400048 bytes (2703 MB) / 4362076160 bytes (4160 MB) up to 6408896512 bytes (6112 MB)
JVM Flags: 7 total; -XX:HeapDumpPath=MojangTricksIntelDriversForPerformance_javaw.exe_minecraft.exe.heapdump -XX:+UseG1GC -XX:+UnlockExperimentalVMOptions -XX:G1NewSizePercent=20 -XX:G1ReservePercent=20 -XX:MaxGCPauseMillis=50 -XX:G1HeapRegionSize=32M
IntCache: cache: 0, tcache: 0, allocated: 0, tallocated: 0
FML: MCP 9.42 Powered by Forge 14.23.5.2796 Optifine OptiFine_1.12.2_HD_U_F4 77 mods loaded, 77 mods active
States: 'U' = Unloaded 'L' = Loaded 'C' = Constructed 'H' = Pre-initialized 'I' = Initialized 'J' = Post-initialized 'A' = Available 'D' = Disabled 'E' = Errored
   | State  | ID                   | Version                 | Source                                             | Signature                                |
   |:------ |:-------------------- |:----------------------- |:-------------------------------------------------- |:---------------------------------------- |
   | LCHIJA | minecraft            | 1.12.2                  | minecraft.jar                                      | None                                     |
   | LCHIJA | mcp                  | 9.42                    | minecraft.jar                                      | None                                     |
   | LCHIJA | FML                  | 8.0.99.99               | forge-1.12.2-14.23.5.2796.jar                      | e3c3d50c7c986df74c645c0ac54639741c90a557 |
   | LCHIJA | forge                | 14.23.5.2796            | forge-1.12.2-14.23.5.2796.jar                      | e3c3d50c7c986df74c645c0ac54639741c90a557 |
   | LCHIJA | otgcore              | 1.12.2 - v8.3           | minecraft.jar                                      | None                                     |
   | LCHIJA | foamfixcore          | 7.7.4                   | minecraft.jar                                      | None                                     |
   | LCHIJA | aether_legacy        | 1.4.4                   | aether_legacy-1.12.2-v1.4.4.jar                    | None                                     |
   | LCHIJA | ambientsounds        | 3.0                     | AmbientSounds_v3.0.9_mc1.12.2.jar                  | None                                     |
   | LCHIJA | jei                  | 4.14.2.236              | jei_1.12.2-4.14.2.236.jar                          | None                                     |
   | LCHIJA | appleskin            | 1.0.9                   | AppleSkin-mc1.12-1.0.9.jar                         | None                                     |
   | LCHIJA | appliedenergistics2  | rv5-stable-11           | appliedenergistics2-rv5-stable-11.jar              | None                                     |
   | LCHIJA | quark                | r1.5-134                | Quark-r1.5-134.jar                                 | None                                     |
   | LCHIJA | autoreglib           | 1.3-20                  | AutoRegLib-1.3-20.jar                              | None                                     |
   | LCHIJA | codechickenlib       | 3.2.2.353               | CodeChickenLib-1.12.2-3.2.2.353-universal.jar      | f1850c39b2516232a2108a7bd84d1cb5df93b261 |
   | LCHIJA | avaritia             | 3.3.0                   | Avaritia-1.12.2-3.3.0.33-universal.jar             | None                                     |
   | LCHIJA | backpacks16840       | 3.5.0                   | backpacks+1.12.2+-+3.5.0.jar                       | None                                     |
   | LCHIJA | baubles              | 1.5.2                   | Baubles-1.12-1.5.2.jar                             | None                                     |
   | LCHIJA | openterraingenerator | v8.3                    | OpenTerrainGenerator-1.12.2+-+v8.3.jar             | None                                     |
   | LCHIJA | biomebundle          | 5.1                     | Biome_Bundle-1.12.2-v6.1.jar                       | None                                     |
   | LCHIJA | thaumcraft           | 6.1.BETA26              | Thaumcraft-1.12.2-6.1.BETA26.jar                   | None                                     |
   | LCHIJA | botania              | r1.10-361               | Botania+r1.10-361.jar                              | None                                     |
   | LCHIJA | redstoneflux         | 2.0.2                   | RedstoneFlux-1.12-2.0.2.3-universal.jar            | 8a6abf2cb9e141b866580d369ba6548732eff25f |
   | LCHIJA | brandonscore         | 2.4.17                  | BrandonsCore-1.12.2-2.4.17.208-universal.jar       | None                                     |
   | LCHIJA | chickenchunks        | 2.4.1.73                | ChickenChunks-1.12.2-2.4.1.73-universal.jar        | f1850c39b2516232a2108a7bd84d1cb5df93b261 |
   | LCHIJA | chiselsandbits       | 14.7                    | chiselsandbits-14.7.jar                            | None                                     |
   | LCHIJA | cofhcore             | 4.5.3                   | CoFHCore-1.12.2-4.5.3.20-universal.jar             | None                                     |
   | LCHIJA | cofhworld            | 1.2.0                   | CoFHWorld-1.12.2-1.2.0.5-universal.jar             | 8a6abf2cb9e141b866580d369ba6548732eff25f |
   | LCHIJA | crafttweaker         | 4.1.20                  | CraftTweaker2-1.12-4.1.20.jar                      | None                                     |
   | LCHIJA | ctgui                | 1.0.0                   | CraftTweaker2-1.12-4.1.20.jar                      | None                                     |
   | LCHIJA | crafttweakerjei      | 2.0.3                   | CraftTweaker2-1.12-4.1.20.jar                      | None                                     |
   | LCHIJA | thermalfoundation    | 2.5.0                   | ThermalFoundation-1.12.2-2.5.0.19-universal.jar    | 8a6abf2cb9e141b866580d369ba6548732eff25f |
   | LCHIJA | draconicevolution    | 2.3.24                  | Draconic-Evolution-1.12.2-2.3.24.349-universal.jar | None                                     |
   | LCHIJA | orelib               | 3.6.0.1                 | OreLib-1.12.2-3.6.0.1.jar                          | 7a2128d395ad96ceb9d9030fbd41d035b435753a |
   | LCHIJA | dsurround            | 3.6.0.2                 | DynamicSurroundings-1.12.2-3.6.0.2 (1).jar         | 7a2128d395ad96ceb9d9030fbd41d035b435753a |
   | LCHIJA | ebwizardry           | 4.1.4                   | Electroblob's+Wizardry+-+4.1.4+-+MC+1.12.2.jar     | None                                     |
   | LCHIJA | embers               | 0.230                   | embers-0.230.jar                                   | None                                     |
   | LCHIJA | endercore            | 1.12.2-0.5.22           | EnderCore-1.12.2-0.5.22.jar                        | None                                     |
   | LCHIJA | enderutilities       | 0.7.11                  | enderutilities-1.12.2-0.7.11.jar                   | 2b03e1423915a189b8094816baa18f239d576dff |
   | LCHIJA | familiarfauna        | 1.0.10                  | FamiliarFauna-1.12.2-1.0.10.jar                    | None                                     |
   | LCHIJA | foamfix              | 0.10.10-1.12.2          | foamfix-0.10.10-1.12.2.jar                         | None                                     |
   | LCHIJA | llibrary             | 1.7.19                  | llibrary-1.7.19-1.12.2.jar                         | b9f30a813bee3b9dd5652c460310cfcd54f6b7ec |
   | LCHIJA | fossil               | 8.0.3                   | fossilsarcheology-8.0.3.jar                        | None                                     |
   | LCHIJA | futureminecraf       | 1.2.2                   | FutureVersionsV1.2.2.jar                           | None                                     |
   | LCHIJA | hammercore           | 2.0.4.7                 | HammerCore-1.12.2-2.0.4.7.jar                      | 4d7b29cd19124e986da685107d16ce4b49bc0a97 |
   | LCHIJA | hardcorequesting     | @VERSION@               | HQM-1.12-5.4.0.jar                                 | None                                     |
   | LCHIJA | waila                | 1.8.26                  | Hwyla-1.8.26-B41_1.12.2.jar                        | None                                     |
   | LCHIJA | icbmclassic          | 1.12.2-3.3.0.55         | ICBM-classic-1.12.2-3.3.0b55.jar                   | None                                     |
   | LCHIJA | ichunutil            | 7.1.4                   | iChunUtil-1.12.2-7.1.4.jar                         | None                                     |
   | LCHIJA | mts                  | 15.7.0                  | Immersive+Vehicles-1.12.2-15.7.0.jar               | None                                     |
   | LCHIJA | journeymap           | 1.12.2-5.5.9            | journeymap-1.12.2-5.5.9.jar                        | None                                     |
   | LCHIJA | mantle               | 1.12-1.3.3.55           | Mantle-1.12-1.3.3.55.jar                           | None                                     |
   | LCHIJA | mcjtylib_ng          | 2.6.7                   | mcjtylib-1.12-2.6.7.jar                            | None                                     |
   | LCHIJA | mcwbridges           | 1.0                     | mcw-bridges-1.0.2-mc1.12.2.jar                     | None                                     |
   | LCHIJA | mekanism             | 1.12.2-9.8.3.390        | Mekanism-1.12.2-9.8.3.390.jar                      | None                                     |
   | LCHIJA | millenaire           | Millénaire 8.0.1        | millenaire-1.12.2-8.0.1.jar                        | None                                     |
   | LCHIJA | mowziesmobs          | 1.5.4                   | mowziesmobs-1.5.4.jar                              | None                                     |
   | LCHIJA | naturescompass       | 1.5.1                   | NaturesCompass-1.12.2-1.5.1.jar                    | None                                     |
   | LCHIJA | neid                 | 1.5.4.4                 | NotEnoughIDs-1.5.4.4.jar                           | None                                     |
   | LCHIJA | nei                  | 2.4.2                   | NotEnoughItems-1.12.2-2.4.2.240-universal.jar      | f1850c39b2516232a2108a7bd84d1cb5df93b261 |
   | LCHIJA | notenoughscaffold    | 1.8                     | NotEnoughScaffold-1.12.2-1.8.jar                   | None                                     |
   | LCHIJA | thermalexpansion     | 5.5.0                   | ThermalExpansion-1.12.2-5.5.0.29-universal.jar     | 8a6abf2cb9e141b866580d369ba6548732eff25f |
   | LCHIJA | omlib                | 3.0.1-162               | omlib-1.12.2-3.0.1-162.jar                         | None                                     |
   | LCHIJA | openmodularturrets   | 3.0.1-264               | openmodularturrets-1.12.2-3.0.1-264.jar            | None                                     |
   | LCHIJA | oreexcavation        | 1.4.109                 | OreExcavation-1.4.109.jar                          | None                                     |
   | LCHIJA | oreveins             | 2.0.2                   | oreveins-2.0.2.jar                                 | None                                     |
   | LCHIJA | roots                | 0.103                   | roots-2-0.103.jar                                  | None                                     |
   | LCHIJA | solarflux            | 4.35r                   | SolarFluxReborn_1.12.2-4.35r.jar                   | 4d7b29cd19124e986da685107d16ce4b49bc0a97 |
   | LCHIJA | soundfilters         | 0.10_for_1.12           | SoundFilters-0.10_for_1.12.jar                     | None                                     |
   | LCHIJA | thermaldynamics      | 2.5.1                   | ThermalDynamics-1.12.2-2.5.1.14-universal.jar      | 8a6abf2cb9e141b866580d369ba6548732eff25f |
   | LCHIJA | torohealthmod        | 1.12.1-11               | torohealth-1.12.1-11.jar                           | None                                     |
   | LCHIJA | trackapi             | 1.1                     | TrackAPI-1.1_1.12.jar                              | None                                     |
   | LCHIJA | twilightforest       | 3.8.689                 | twilightforest-1.12.2-3.8.689-universal.jar        | None                                     |
   | LCHIJA | vanillafix           | 1.0.10-SNAPSHOT         | VanillaFix-1.0.10-99.jar                           | None                                     |
   | LCHIJA | waystones            | 4.0.15                  | Waystones_1.12.1-4.0.15.jar                        | None                                     |
   | LCHIJA | immersiveengineering | 0.12-89                 | ImmersiveEngineering-0.12-89.jar                   | 4cb49fcde3b43048c9889e0a3d083225da926334 |
   | LCHIJA | structurize          | 1.12.2-0.10.198-ALPHA   | structurize-1.12.2-0.10.198-ALPHA.jar              | None                                     |
   | LCHIJA | minecolonies         | 1.12.2-0.10.714-RELEASE | minecolonies-1.12.2-0.10.714-RELEASE-universal.jar | None                                     |

Loaded coremods (and transformers): Plugin (NotEnoughIDs-1.5.4.4.jar)
ru.fewizz.neid.asm.Transformer
llibrary (llibrary-core-1.0.11-1.12.2.jar)
net.ilexiconn.llibrary.server.core.plugin.LLibraryTransformer
net.ilexiconn.llibrary.server.core.patcher.LLibraryRuntimePatcher
IELoadingPlugin (ImmersiveEngineering-core-0.12-89.jar)
blusunrize.immersiveengineering.common.asm.IEClassTransformer
LoadingPlugin (Quark-r1.5-134.jar)
vazkii.quark.base.asm.ClassTransformer
HCASM (HammerCore-1.12.2-2.0.4.7.jar)
com.zeitheron.hammercore.asm.HammerCoreTransformer
TransformLoader (DynamicSurroundings-1.12.2-3.6.0.2 (1).jar)
                                  BCModPlugin (backpacks+1.12.2+-+3.5.0.jar)
                                    brad16840.core.ClassTransformer
                                  MekanismCoremod (Mekanism-1.12.2-9.8.3.390.jar)
                                    mekanism.coremod.KeybindingMigrationHelper
                                  OTGCorePlugin (OTG-Core.jar)
                                    com.pg85.otg.forge.asm.excluded.OTGClassTransformer
                                  VanillaFixLoadingPlugin (VanillaFix-1.0.10-99.jar)

                                  Do not report to Forge! (If you haven't disabled the FoamFix coremod, try disabling it in the config! Note that this bit of text will still appear.) (foamfix-0.10.10-1.12.2.jar)
                                    pl.asie.foamfix.coremod.FoamFixTransformer
                                  EnderCorePlugin (EnderCore-1.12.2-0.5.22.jar)
                                    com.enderio.core.common.transform.EnderCoreTransformer

GL info: ERROR RuntimeException: No OpenGL context found in the current thread.
AE2 Version: stable rv5-stable-11 for Forge 14.23.1.2554
Hammer Core Information: FluidDictionary Info: Registered 2 fluids.
OreDictionary Info: Registered 1000 names; 1610 stacks.
Pastebin Connection: Okay.
Dependent Mods: None.
AE2 Integration: IC2:OFF, RC:OFF, MFR:OFF, Waila:ON, InvTweaks:OFF, JEI:ON, Mekanism:ON, OpenComputers:OFF, THE_ONE_PROBE:OFF, TESLA:OFF, CRAFTTWEAKER:ON
Suspected Mods: Open Terrain Generator (openterraingenerator)
Profiler Position: N/A (disabled)
Player Count: 0 / 8; []
Type: Integrated Server (map_client.txt)
Is Modded: Definitely; Client brand changed to 'fml,forge'
Client Crashes Since Restart: 0
Integrated Server Crashes Since Restart: 2]
What other plugins are you running?
[Biome Bundle v6.1, Aether Legacy 1.4.4, Twilight Forest 3.8.689, Thaumcraft BETA26, and thats it for mods that add biomes I think. Let me know if you need more]
Description
[Every time I try to create a new world, it crashes, every time I try to open a world, it crashes in  different way. Only happens when I try to add a new mod that adds a new biome. says the same exact thing every time:  java.lang.RuntimeException: Tried to register biome openterraingenerator:overworld_frozen_forest to a id 64 but it is occupied by [insert biome here]
Can't change biome id's for any of these mods, since they aren't in the config files.
[Can you provide a Minimal, Reproducible Example? See here for details: Every time I add a new mod that add at least one biome, it does this.

ok I think it was just me forgetting to delete the OTG core from the 1.12.2 file. Ignore this.

Nevermind. That only fixed the issue with creating new worlds.
The Biome ID conflict still exists.

You cannot add mods that add new biomes to existing worlds.

Hey @AYYYYYYMD , Coll is right, after you've created a world, you shouldn't add/remove mods that add their own biomes since the biome registry will change and your world's biome id's will be mixed up. Please join us on the OTG Discord if you have more questions about this, thanks!


text:
ReplaceBlock don’t work with blockstates

OTG Plugin or Mod

[ ] OTG Mod for Forge
[x] OTG Plugin for Spigot

OTG Version

[ ] 1.12.2_v8_r1
[ ] 1.12.2_v7_DEV_r26
[ ] 1.12.2-v6
[ ] 1.12.2-v5
[ ] 1.11.2-v8
[ ] 1.11.2-v9
[ ] 1.10.2-v21
[x] 1.16.5-0.0.15

Forge or Spigot Versions
1.16.5
What other plugins are you running?
Only Essentials, WorldGuard, WorldEdit, Essentials-Spawn
Description
When the plugin loads my biomes, Replace Blocks containing blocks that have custom blockstates don't work due to a formatting error:
Example:
[01:38:37 ERROR]: [otg] [Configs] The value "(minecraft:gravel,minecraft:sand,50,63),(minecraft:sandstone,minecraft:note_block[instrument=banjo,note=1,powered=false],64,256),(minecraft:gravel,minecraft:note_block[instrument=banjo,note=2,powered=false],64,255),(minecraft:note_block[instrument=banjo,note=1,powered=false],minecraft:stone,63,72)" is not valid for the setting ReplacedBlocks in SandyDunes on line 116: Replace parts must be in the format (from,to) or (from,to,minHeight,maxHeight)
I hope that the plugin considers blockstates without generating errors and that my biomes don't have this kind of hitch.
Steps to reproduce

Sets a replaceblock to a biome, which uses blocks with custom blockstates.

for example: (minecraft:sandstone,minecraft:note_block[instrument=banjo,note=1,powered=false],64,256)

Restart the server with scrive logs for Configs
You will notice the format error in the console and that the replacedBlock will not work on the server

Hey @SpiderDeluxe , thanks for reporting this. I assume the comma's in the block data are causing the parsing issues, any OTG settings that use comma's may be affected. Will look at this for 0.0.16.

This may affect anything that uses materials and comma's:

ReplacedBlocks
BiomeConfig resources
SurfaceAndGroundControl
BO functions (Block() etc)

Hey @SpiderDeluxe , thanks for reporting this. I assume the comma's in the block data are causing the parsing issues, any OTG settings that use comma's may be affected. Will look at this for 0.0.16.

Thanks to you and the OTG team working on this great plugin, I look forward to new feedback

Will just keep this issue open until we fix the problem, thanks!

Should be fixed for 0.0.16, to be released on the discord asap.


text:
Laravel 10 support

Added support for Laravel 10.
Fixes #210. Replaces PR #211.
Description

Checklist:

[x] I've added tests for my changes or tests are not applicable
[x] I've changed documentations or changes are not required
[ ] I've added my changes to CHANGELOG.md

@Haeyzed please wait for the release.

@daniser sorry, how long we need to wait?

@daniser sorry, how long we need to wait?

You don't need to.
https://github.com/PHP-Open-Source-Saver/jwt-auth/releases/tag/2.1.0

authors: Haeyzed daniser indigoram89

repo: PHP-Open-Source-Saver/jwt-auth


text:
Cannot Run on Myriad Device

Hi
I changed the code (changed plugin device and changed model directory to FP16) to run the segmentation on NCS device and I am getting this error:
Traceback (most recent call last):
File "openvino_test_CPU-2.py", line 33, in
exec_net = plugin.load(network=net)
File "ie_api.pyx", line 305, in inference_engine.ie_api.IEPlugin.load
File "ie_api.pyx", line 318, in inference_engine.ie_api.IEPlugin.load
RuntimeError: Cannot convert layer "argmax" due to unsupported layer type "ArgMax"
/teamcity/work/scoring_engine_build/releases_openvino-2018-r4/ie_bridges/python/inference_engine/ie_api_impl.cpp:260
The default segmentation on CPU works just fine.
Kindly advise.

@umer-rasheed
NCS and NCS 2 support very few layers.
First make the following changes,
plugin = IEPlugin(device="MYRIAD")
#plugin = IEPlugin(device="GPU")
#plugin = IEPlugin(device="CPU")

#plugin.add_cpu_extension("lib/libcpu_extension.so")
exec_net = plugin.load(network=net)

and, Please refer to the implementation of the next repository and offload the "ArgMax" layer.
However, since caffemodel is not disclosed from Intel, I think it is a very difficult task.
https://github.com/PINTO0309/OpenVINO-DeeplabV3/blob/master/openvino_deeplabv3_test.py
https://github.com/PINTO0309/OpenVINO-DeeplabV3
Probably you will need to train with your own dataset based on the following .prototxt.
I do not have much time so I do not plan to do my own training for now.
https://github.com/PINTO0309/OpenVINO-ADAS/blob/master/lrmodels/semantic-segmentation-adas-0001.prototxt
Same issue.
https://software.intel.com/en-us/forums/computer-vision/topic/801308

Hi Pinto,
Thanks a lot for the quick response.
I just needed to check whether layers for FCN including transposed convolution, concatenation actually works on NCS with OpenVino since I had no luck with NCSDK in the past.
The issue you shared at the bottom is shared by me. It doesn't seem to have anything to do with supported layers though.

@umer-rasheed

The issue you shared at the bottom is shared by me. It doesn't seem to have anything to do with supported layers though.

It's exactly as you say.
I was misunderstanding.

concatenation actually works on NCS with OpenVino since I had no luck with NCSDK in the past.

I have not confirmed the operation of "transposed convolution", but I wish you good luck.
I think I heard somewhere that the OpenVINO internal API is almost the same as NCSDK.
But, It has been confirmed that some models that did not work with NCSDK will work on OpenVINO.
For example,
https://github.com/PINTO0309/TensorflowLite-UNet.git
A list of layers supported by OpenVINO is listed below.
https://github.com/PINTO0309/OpenVINO-YoloV3#openvino-supported-layers-as-of-dec-16-2018
It might be meaningless information for you, I know that using Intel's CPU will show better performance than NCS2.
I have discontinued development by NCS2 until OpenVINO is compatible with ARM processors.
https://github.com/opencv/dldt/issues/3

@umer-rasheed

Is your model trained or just initialized and converted to IR?

Unfortunately, this repository is the only repository I failed to convert.
I spent a week on converting, but it did not work.
Probably, Tricky customization is required like "OpenVINO-DeeplabV3+".
By the way, although I am currently trying to convert tiny-YoloV3, I have not succeeded yet.

I had the similar problem when trying to convert deeplab3 - mobilenet2. The only layer out of that model that's unsupported by MYRIAD at the moment is Argmax. When you convert the model to IR format, you can specify the logits of the model as output:
python3 /opt/intel/computer_vision_sdk/deployment_tools/model_optimizer/mo_tf.py \
--input_model frozen_inference_graph.pb \
--input 0:MobilenetV2/Conv/Conv2D --output logits/semantic/BiasAdd \
--input_shape [1,512,512,3] \
--data_type FP16
--output_dir .

That way you'll get a [512, 512, number_of_classes] output which you can then argmax yourself outside of MYRIAD.

@ikrets
Thank you for your comment.
Yes. Actually, as you said, I was aware from the beginning that Argmax is a problem.
Unfortunately, however, the model before IR conversion is not published from Intel.

@umer-rasheed
@ikrets
I changed the model by myself and excluded Argmax, but NCS / NCS 2 hangs during reasoning.
The OpenVINO API seems to have problems.

http://registrationcenter-download.intel.com/akdlm/irc_nas/15013/l_openvino_toolkit_p_2018.5.445.tgz


text:
Gather got multiple indices

Currently the conversion work fine so far until at Gather operation
It received multiple indices based on the screenshot below which will trigger:
*** TypeError: only size-1 arrays can be converted to Python scalars

I tried take a look at Netron but don't know what to do based on the graph

Thanks

I'd like to use a sample model to debug it if possible. Can you provide an IR model (.bin/.xml)?

Sure
xml
bin

I just fixed the Gather and ShapeOf conversion bug. 3b4a7a0690eb47d3a478091b17b24b51c261e308
The following link is tflite after conversion.

model_unknown0001_float32.tflite
https://drive.google.com/file/d/1D9CfZd8OWRQo4ZE9nN2geKwkIQJfXmOG/view?usp=sharing

Wow, after using latest script I can convert without any error.
I will take a look at the tflite model you share
If you are ok with it, can you share how you approach solving the bug?
Thanks :)

I was remiss in transposing indices from NCHW to NHWC. I also changed ShapeOf from tf.keras.backend.shape to tf.shape and fixed the return dtype to int64.
Also, ReduceProd and Subtract were added because they were unsupported layers.

Ohhh, now the code change make sense
Thanks again


text:
🛑 Cuterwrite is down

In 0edf05c, Cuterwrite (https://cuterwrite.top) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Cuterwrite is back up in c7ae67f after 11 minutes.

repo: PKUcoldkeyboard/upptime


text:
🛑 MUSA is down

In 7ddc775, MUSA (https://storemusa.com/) was down:

HTTP code: 403
Response time: 318 ms

Resolved: MUSA is back up in 9ce2dee after 12 minutes.

repo: POCLANOS/status


text:
🛑 MUSA is down

In 22692b5, MUSA (https://storemusa.com/) was down:

HTTP code: 403
Response time: 293 ms

Resolved: MUSA is back up in 9c1e112 after 12 minutes.


text:
🛑 MUSA is down

In a74346a, MUSA (https://storemusa.com/) was down:

HTTP code: 403
Response time: 432 ms

Resolved: MUSA is back up in 288c13a after 12 minutes.


text:
🛑 MUSA is down

In 0c8306b, MUSA (https://storemusa.com/) was down:

HTTP code: 403
Response time: 418 ms

Resolved: MUSA is back up in 4e62203 after 24 minutes.


text:
Z Drift in custom dataset

Thanks a lot for this great work!
I meet some problems when I test pin_slam.
When I  test in my custom data, I found there will have large z drift (about 8-9m) in long term(5-6km) travel. and the loop detector will be failed.
I tried to adjust some parameters in pgo and loop detector but got no improve.
Is there any idea to solve this, I will try to count distance only use x,y and ignore z for loop detection, but I dont think this is a good solution.
thanks again.

Thanks for your interest in our work.
Could you please provide us with some information such as the type of the LiDAR sensor. Is it a 360-degree spinning LiDAR or a front-facing Livox-like LiDAR?
For the loop detection, you may try the following parameter settings:
pgo:
  map_context: True
  pgo_freq_frame: 30
  context_cosdist: 0.3
  virtual_side_count: 10
  local_loop_dist_thre: 20.0

which would search for more candidate scans for loop detection with long run and large odometry drift

@YuePanEdward thanks for reply!
my lidar is rslidar-128, I will try this params.
besides, your  local_loop_dist_thre is determined by this line:
self.local_loop_dist_thre = config_args["pgo"].get("local_loop_dist_thre", self.voxel_size_m * 5.0)

Thanks, I will try to solve this problem through other sensors.
and close this issue.
thanks again for reply!

authors: Xiangzhaohong YuePanEdward


text:
About  λ(bata_1)

Great work!But I have a little question about λ.
In your code:
loss = ce_loss + args["alpha_1"] * MC_loss[0] +   args["beta_1"]  * MC_loss[1]
And in your paper:

So,I should set beta_1 as -10 in code?
Please point out my problem if I misunderstood the operation here.Thanks a lot.

Please ref #10 for details.

I get it,thank you!

repo: PRIS-CV/Mutual-Channel-Loss


text:
Updates to txfunc.py

This PR will make the following changes:

Add another form for individual income tax functions from Heathcote, Storesletten, and Violante (QJE, 2017).  It's helpful to add these because they are simple to estimate (one can use OLS), allow for progressive taxes, and are widely used in the macroeconomics literature.
Improve the choice of starting values when minimizing tax functions via weighted, non-linear least squares.

HSV function estimates (age specific, each line representing a different age)
ETRs

MTR, labor income

MTR, capital income

Codecov Report
Attention: Patch coverage is 9.09091% with 20 lines in your changes are missing coverage. Please review.

Project coverage is 71.30%. Comparing base (0261fbf) to head (e4f7775).

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #932      +/-   ##
==========================================
- Coverage   72.76%   71.30%   -1.46%
==========================================
  Files          19       19
  Lines        4644     4666      +22
==========================================
- Hits         3379     3327      -52
- Misses       1265     1339      +74

Flag
Coverage Δ

unittests
71.30% <9.09%> (-1.46%)
:arrow_down:

Flags with carried forward coverage won't be shown. Click here to find out more.

Files
Coverage Δ

ogcore/txfunc.py
28.21% <9.09%> (-1.32%)
:arrow_down:

... and 2 files with indirect coverage changes

@rickecon This PR is ready for your review.
The changes to starting values (which apply to the GS and DEP functions only)  are to estimate the specified tax functions for all ages via a global optimizer (in this case, scipy.optimize.differential_evolution), then use these parameter estimates for the initial guess for the first age group. Following that, the parameter estimates for each age are used as starting values for the next age.

@jdebacker. The Linux/Python 3.10 test seems to be stalled out. I wonder what is going on with the tests. I am just waiting for these all to pass. I approved all the code changes.

@jdebacker. This looks great and all checks have passed. Merging.

authors: codecov-commenter jdebacker rickecon

repo: PSLmodels/OG-Core


text:
Accelerometer calibration problem on FMUV5

Describe the bug
We noticed a high magnitude of the accelerometer Z component which we could not eliminate even after several accelerometer calibrations. It seems that only the first instance of the sensor_accel topic is affected. Furthermore, the problem does not occur with 1.8.2 on the same hardware with the same parameters.

@bkueng @dagar FYI

Were the calibration parameters changing between attempts or relative to 1.8.2?

@dagar No

@dagar Sorry, I should explain better. Calibration params were not changed when moving between master and 1.8. We are able to reproduce this on several devices.

Two things that caught my eye:
The X-offset is really high (~2 m/s^2) although this seems to be correct for my Pixhawk 4.
The Z-offset is small but if I change the sign of it, we reach 9.81 much more accurate.

I reproduced this locally and confirmed both stable (v1.8.2) and current master produce effectively the same calibration parameters on the same hardware.

The raw data looks equivalent, but the scaling changed.

@dagar After bisecting the commits, I found the guilty one:
commit d299d439c626e2cbdb94d506d857fb7e664cfe18
Author: Daniel Agar <daniel@agar.ca>
Date:   Mon Jan 14 16:15:23 2019 -0500

    mpu6000 use new PX4Accelerometer and PX4Gyroscope classes

On commit https://github.com/PX4/Firmware/commit/d299d439c626e2cbdb94d506d857fb7e664cfe18
INFO  [sensors] accel status:
INFO  [ecl/validation] validator: best: 1, prev best: 1, failsafe: NO (0 events)
INFO  [ecl/validation] sensor #0, prio: 75, state: OK
INFO  [ecl/validation] 	val:  -0.0356, lp:  -0.0269 mean dev:  -0.0076 RMS:   0.0773 conf:   1.0000
INFO  [ecl/validation] 	val:   0.2122, lp:   0.1995 mean dev:   0.0003 RMS:   0.0184 conf:   1.0000
INFO  [ecl/validation] 	val: -10.3720, lp: -10.3181 mean dev:   0.0002 RMS:   0.0437 conf:   1.0000
INFO  [ecl/validation] sensor #1, prio: 99, state: OK
INFO  [ecl/validation] 	val:  -0.1478, lp:  -0.1488 mean dev:  -0.0033 RMS:   0.0398 conf:   1.0000
INFO  [ecl/validation] 	val:   0.1883, lp:   0.1141 mean dev:  -0.0006 RMS:   0.0232 conf:   1.0000
INFO  [ecl/validation] 	val:  -9.7528, lp:  -9.7770 mean dev:   0.0004 RMS:   0.0521 conf:   1.0000

On the previous one (91dcfb7ab2cc56a4dbfcdd4f20e655264e2324dc):
INFO  [sensors] accel status:
INFO  [ecl/validation] validator: best: 0, prev best: 0, failsafe: NO (0 events)
INFO  [ecl/validation] sensor #0, prio: 100, state: OK
INFO  [ecl/validation] 	val:  -0.0584, lp:  -0.0613 mean dev:  -0.0028 RMS:   0.0488 conf:   1.0000
INFO  [ecl/validation] 	val:   0.0588, lp:   0.0928 mean dev:  -0.0001 RMS:   0.0169 conf:   1.0000
INFO  [ecl/validation] 	val:  -9.7833, lp:  -9.8157 mean dev:   0.0007 RMS:   0.0701 conf:   1.0000
INFO  [ecl/validation] sensor #1, prio: 99, state: OK
INFO  [ecl/validation] 	val:  -0.1555, lp:  -0.1432 mean dev:  -0.0003 RMS:   0.0179 conf:   1.0000
INFO  [ecl/validation] 	val:   0.0595, lp:   0.0846 mean dev:  -0.0001 RMS:   0.0224 conf:   1.0000
INFO  [ecl/validation] 	val:  -9.7305, lp:  -9.7932 mean dev:   0.0001 RMS:   0.0733 conf:   1.0000

Note that I didn't do any calibration between the two tests, It's then not a calibration issue.

The raw data is equivalent between stable (left) and master (right).

It's even more apparent looking at the absolute value of the filtered accel data. Again stable left, master right.

It looks like this is coming from floating point loss of precision. In PX4 master the sensor data is rotated after being scaled and stored as floats (raw data is int16). In stable the rotation is done with the data still scaled (2048 G/LSB), then scaled down.

@dagar After bisecting the commits, I found the guilty one:
commit d299d439c626e2cbdb94d506d857fb7e664cfe18
Author: Daniel Agar <daniel@agar.ca>
Date:   Mon Jan 14 16:15:23 2019 -0500

    mpu6000 use new PX4Accelerometer and PX4Gyroscope classes

On commit d299d43
INFO  [sensors] accel status:
INFO  [ecl/validation] validator: best: 1, prev best: 1, failsafe: NO (0 events)
INFO  [ecl/validation] sensor #0, prio: 75, state: OK
INFO  [ecl/validation] 	val:  -0.0356, lp:  -0.0269 mean dev:  -0.0076 RMS:   0.0773 conf:   1.0000
INFO  [ecl/validation] 	val:   0.2122, lp:   0.1995 mean dev:   0.0003 RMS:   0.0184 conf:   1.0000
INFO  [ecl/validation] 	val: -10.3720, lp: -10.3181 mean dev:   0.0002 RMS:   0.0437 conf:   1.0000
INFO  [ecl/validation] sensor #1, prio: 99, state: OK
INFO  [ecl/validation] 	val:  -0.1478, lp:  -0.1488 mean dev:  -0.0033 RMS:   0.0398 conf:   1.0000
INFO  [ecl/validation] 	val:   0.1883, lp:   0.1141 mean dev:  -0.0006 RMS:   0.0232 conf:   1.0000
INFO  [ecl/validation] 	val:  -9.7528, lp:  -9.7770 mean dev:   0.0004 RMS:   0.0521 conf:   1.0000

On the previous one (91dcfb7):
INFO  [sensors] accel status:
INFO  [ecl/validation] validator: best: 0, prev best: 0, failsafe: NO (0 events)
INFO  [ecl/validation] sensor #0, prio: 100, state: OK
INFO  [ecl/validation] 	val:  -0.0584, lp:  -0.0613 mean dev:  -0.0028 RMS:   0.0488 conf:   1.0000
INFO  [ecl/validation] 	val:   0.0588, lp:   0.0928 mean dev:  -0.0001 RMS:   0.0169 conf:   1.0000
INFO  [ecl/validation] 	val:  -9.7833, lp:  -9.8157 mean dev:   0.0007 RMS:   0.0701 conf:   1.0000
INFO  [ecl/validation] sensor #1, prio: 99, state: OK
INFO  [ecl/validation] 	val:  -0.1555, lp:  -0.1432 mean dev:  -0.0003 RMS:   0.0179 conf:   1.0000
INFO  [ecl/validation] 	val:   0.0595, lp:   0.0846 mean dev:  -0.0001 RMS:   0.0224 conf:   1.0000
INFO  [ecl/validation] 	val:  -9.7305, lp:  -9.7932 mean dev:   0.0001 RMS:   0.0733 conf:   1.0000

Note that I didn't do any calibration between the two tests, It's then not a calibration issue.

Ha, thanks @bresch. I only just saw your reply now.

authors: RomanBapst bresch dagar julianoes


text:
SBUS out should deliver the neutral position of servos

currently the SBUS output begins at the moment, when the vehicle is armed. Before there is just no output at all.
For SBUS Servos this works fine, And they are just quiet until armed. Thats ok.
But for ESC/Motors this is a real issue. And for other things like parachute and LED-Drivers as well.
Therefore; the correct handling on SBUS should be the same as for PWM-Out: Always the neutral Position (the trim from the calibration) should be delivered.

We can do that for the next release. In general it would be great to have a developer for S.BUS, do you feel you can maybe find someone from the RC hobby community with some programming skills to pick this up?

This is fixed in 615affd.

authors: LorenzMeier severinleuenberger


text:
jmavsim java error at java.net.URLClassLoader.findClass

Newbie here,
I'm doing my best to follow this page to setup a basic SITL
make posix_sitl_default jmavsim
when I launch this, I get:
PX4 CONFIG: posix_sitl_default
[1/1] cd /home/yota/disk/forge/Firmware && Tools/sitl_run.sh posix-configs/SITL/init/rcS none jmavsim none /home/yota/disk/forge/Firmware/build_posix_sitl_default
SITL ARGS
rc_script: posix-configs/SITL/init/rcS
debugger: none
program: jmavsim
model: none
build_path: /home/yota/disk/forge/Firmware/build_posix_sitl_default
empty model, setting iris as default
Buildfile: /media/yota/af65daa0-9a8d-4096-8909-e10f0c568391/forge/Firmware/Tools/jMAVSim/build.xml

make_dirs:

compile:

create_run_jar:

copy_res:

BUILD SUCCESSFUL
Total time: 0 seconds
Options parsed, starting Sim.
Starting GUI...
3D [dev] 1.6.0-pre12-daily-experimental daily

Error occurred during Canvas3D callback:
java.lang.BootstrapMethodError: java.lang.NoClassDefFoundError: java/lang/invoke/StringConcatFactory
    at me.drton.jmavsim.Visualizer3D$CustomCanvas3D.postRender(Visualizer3D.java:883)
    at javax.media.j3d.Renderer.doWork(Renderer.java:1376)
    at javax.media.j3d.J3dThread.run(J3dThread.java:271)
Caused by: java.lang.NoClassDefFoundError: java/lang/invoke/StringConcatFactory
    ... 3 more
Caused by: java.lang.ClassNotFoundException: java.lang.invoke.StringConcatFactory
    at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
    ... 3 more

From my modest java knowledge I guess it have to do with some classes not available in a mysterious $PATH_SOMETHING. It may even be linked to the options found here : java -Djava.ext.dirs= -cp lib/*:out/production/jmavsim.jar me.drton.jmavsim.Simulator -udp 127.0.0.1:14560.
But I can't go further, my jmavsim simulation fails and the make commands is a dead ends.
Thank you for you support

What version of java do you have? java -version

$ java -version
openjdk version "1.8.0_91"
OpenJDK Runtime Environment (build 1.8.0_91-8u91-b14-0ubuntu4~16.04.1-b14)
OpenJDK Server VM (build 25.91-b14, mixed mode)

Here are the installed JVM...
There are 2 choices for the alternative java (providing /usr/bin/java).

  Selection    Path                                           Priority   Status
------------------------------------------------------------
  0            /usr/lib/jvm/java-9-openjdk-i386/bin/java       1091      auto mode
* 1            /usr/lib/jvm/java-8-openjdk-i386/jre/bin/java   1081      manual mode
  2            /usr/lib/jvm/java-9-openjdk-i386/bin/java       1091      manual mode

In fact, with java-9-openjdk-i386 I get even nastier errors :)
Bug 1004: Caught: class com.jogamp.nativewindow.awt.AppContextInfo cannot access class sun.awt.AppContext (in module java.desktop) because module java.desktop does not export sun.awt to unnamed module @1763516
java.lang.IllegalAccessException: class com.jogamp.nativewindow.awt.AppContextInfo cannot access class sun.awt.AppContext (in module java.desktop) because module java.desktop does not export sun.awt to unnamed module @1763516

I cannot find out where should be StringConcatFactory defined and if something is missing in my java install o_O

I'm not sure what to suggest. It looks like we have the exact same version of Ubuntu and java 8. The only obvious difference I see so far is that I only have java 8.
 % dpkg -l | grep openjdk
ii  openjdk-8-jdk:amd64                        8u91-b14-0ubuntu4~16.04.1                                   amd64        OpenJDK Development Kit (JDK)
ii  openjdk-8-jdk-headless:amd64               8u91-b14-0ubuntu4~16.04.1                                   amd64        OpenJDK Development Kit (JDK) (headless)
ii  openjdk-8-jre:amd64                        8u91-b14-0ubuntu4~16.04.1                                   amd64        OpenJDK Java runtime, using Hotspot JIT
ii  openjdk-8-jre-headless:amd64               8u91-b14-0ubuntu4~16.04.1                                   amd64        OpenJDK Java runtime, using Hotspot JIT (headless)

I suggest to close it, thank you for your support.
I started from scratch on a much cleaner ubuntu install (16.04 64 bit and openjdk-8-jre-headless openjdk-8-jdk-headless packages) and everything worked fine...

I'm glad you were able to get it working.

Hello yota-code I am facing the same issue.Could you please help me with steps how to fix it.
Thank you!!

If I remember well, the problem disappeared when I had the correct java version, the ones mentioned on July the 12th: openjdk-8-jre-headless openjdk-8-jdk-headless.
No other ubuntu package gave me a good result... Do you use ubuntu too ?

Thank you for ur prompt reply..
Yes I use Ubuntu too, I installed same packages..still I face the same error..Do I need to uninstall java and then reinstall it?

you can try to find all already installed java packages and do an apt purge  to do a clean reinstall, and you could also provide :
java -version and lsb_release -a
because I have no new idea :)

hi yota-code
I have provided the details of my problem.
The below are versions I am using..
neelesh@neelesh-Lenovo-G580:~$  lsb_release -a
No LSB modules are available.
Distributor ID:	Ubuntu
Description:	Ubuntu 16.04.2 LTS
Release:	16.04
Codename:	xenial
neelesh@neelesh-Lenovo-G580:~$
neelesh@neelesh-Lenovo-G580:~$ java -version
openjdk version "1.8.0_121"
OpenJDK Runtime Environment (build 1.8.0_121-8u121-b13-0ubuntu1.16.04.2-b13)
OpenJDK 64-Bit Server VM (build 25.121-b13, mixed mode)
neelesh@neelesh-Lenovo-G580:~$
Errors I am getting:
copy_res:
BUILD SUCCESSFUL
Total time: 0 seconds
Options parsed, starting Sim.
Starting GUI...
3D [dev] 1.6.0-pre12-daily-experimental daily
libEGL warning: bad surface attribute 0x3080
libEGL warning: bad surface attribute 0x3080
libEGL warning: bad surface attribute 0x3080
libEGL warning: bad surface attribute 0x3080
Error occurred during Canvas3D callback:
java.lang.BootstrapMethodError: java.lang.NoClassDefFoundError: java/lang/invoke/StringConcatFactory
at me.drton.jmavsim.Visualizer3D$CustomCanvas3D.postRender(Visualizer3D.java:883)
at javax.media.j3d.Renderer.doWork(Renderer.java:1376)
at javax.media.j3d.J3dThread.run(J3dThread.java:271)
Caused by: java.lang.NoClassDefFoundError: java/lang/invoke/StringConcatFactory
... 3 more
Caused by: java.lang.ClassNotFoundException: java.lang.invoke.StringConcatFactory
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
... 3 more
Error occurred during Canvas3D callback:
java.lang.BootstrapMethodError: java.lang.NoClassDefFoundError: java/lang/invoke/StringConcatFactory
at me.drton.jmavsim.Visualizer3D$CustomCanvas3D.postRender(Visualizer3D.java:883)
at javax.media.j3d.Renderer.doWork(Renderer.java:1376)
at javax.media.j3d.J3dThread.run(J3dThread.java:271)
Caused by: java.lang.NoClassDefFoundError: java/lang/invoke/StringConcatFactory
... 3 more
Error occurred during Canvas3D callback:
java.lang.BootstrapMethodError: java.lang.NoClassDefFoundError: java/lang/invoke/StringConcatFactory
at me.drton.jmavsim.Visualizer3D$CustomCanvas3D.postRender(Visualizer3D.java:883)
at javax.media.j3d.Renderer.doWork(Renderer.java:1376)
at javax.media.j3d.J3dThread.run(J3dThread.java:271)
Caused by: java.lang.NoClassDefFoundError: java/lang/invoke/StringConcatFactory
... 3 more
Exception in thread "main" java.lang.reflect.InvocationTargetException
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.eclipse.jdt.internal.jarinjarloader.JarRsrcLoader.main(JarRsrcLoader.java:58)
Caused by: java.lang.BootstrapMethodError: java.lang.NoClassDefFoundError: java/lang/invoke/StringConcatFactory
at me.drton.jmavlib.mavlink.MAVLinkMessageDefinition.calculateExtraCRC(MAVLinkMessageDefinition.java:46)
at me.drton.jmavlib.mavlink.MAVLinkMessageDefinition.(MAVLinkMessageDefinition.java:42)
at me.drton.jmavlib.mavlink.MAVLinkSchema.processXMLFile(MAVLinkSchema.java:113)
Thank you!!

Hi !
I have the same problem.
Ubuntu 16.04 and Java 8 & 9 installed.
I can't remove Java 9 because CUDA 9.0 is using it, so do I.
I tried to erase everything and reinstall them, still same problem..

Also after doing what @dr0i said, run:
$ sudo apt remove openjdk-*
$ sudo apt remove default-jre*
<PX4 Firmware installation dir>/Tools/jMAVSim$ rm -rf out/

Open up a new terminal and go to <PX4 Firmware installation dir>/Tools/jMAVSim and
<PX4 Firmware installation dir>/Tools/jMAVSim$ ant clean distro

Now it should work.


text:
tailsitter  fly forward and fall suddenly

In position mode,tailsiter fly forward , but fall sudenly.
RC alt chanel(rc_channels_0.channels[3]) no action，Why vehicle_local_position_setpoint decrised.
https://logs.px4.io/plot_app?log=e395b143-1e01-4195-b385-77ca6ab75ef7

Sample problem as in #9032

authors: MikeWellC RomanBapst


text:
Problem with internal magnetic sensors PIXHAWK 3 PRO

Firmware v1.7.3 & QGC v3.3.0
During test flights I noticed that the drone does not fly the route I specified, but always flies in any other direction. Several times I recalibrated all sensor systems with QGroundControl and still got the following warining: preflight failed mag sensors inconsistent
I have read the following forum posts:

preflight failed mag sensors inconsistent #8475
Solo PREFLIGHT FAIL: MAG SENSORS INCONSISTENT #8305
preflight failed : mag sensors inconsistent #24
Pixracer magnetometer preflight error #8098

After a few searches, I found the cause:
One internal magnetic sensor provided data that differed greatly from the other internal magnetic sensor and the magnetic sensor of the external GPS compass module. I created plots in all three axes using FlightPlot.
Internal magnetic sensor (sensor_mag_0 & sensor_mag_1):

MPU-9250
LIS3MDL

External magnetic sensor (sensor_mag_2):

LIS3MDL

I can’t tell which sensor is exactly mag_0 and which is mag_1.

In the X-axis the magnetic sensor 1 has an offset, in the Y- & Z-axis it looks as if the signal is mirrored.
First tried to change the orientation of the sensor (CAL_MAG1_ROT), but after the QGC after the fifth time, set the value back to Internal mag, we left this.
As a result, I have deactivated the magnetic sensor in QGroundControl, which has a systematic deviation (CAL_MAG1_EN set to Disabled).

Since that moment, the drone has been flying exactly as planned!
My questions are this now:

Where could the error come from with the wrong signal?
How can you fix it yourself?

Thanks for your help!
Regards Cédi

Just personal advice：　you can set CAL_MAG2_ROT = Internal mag

authors: CediBosshard xdwgood


text:
NXPhlite issues.

@davids5  Has issues maintaining altitude  in position, altitude and Auto. The accuracy of the GPS is very poor. in POS it maintain the position  but in mission it doesn't.
commit 5b0ad4e1.
https://review.px4.io/plot_app?log=ff6f685c-eb1a-412a-93e3-80354cbf602c
https://review.px4.io/plot_app?log=a5824a2a-e8ff-4f00-b7c4-b1018c694652
https://review.px4.io/plot_app?log=1c2da437-5699-4ddc-bf01-1d5ab0814187
https://review.px4.io/plot_app?log=aa719c97-71c4-4d05-aea6-ef6f8a36ce01
https://review.px4.io/plot_app?log=ff6f685c-eb1a-412a-93e3-80354cbf602c
https://review.px4.io/plot_app?log=b0db2ecc-a6c9-42a1-8a49-f8afea1ffa2e
commit 9e4e19d4.
https://review.px4.io/plot_app?log=910de492-f7b7-4fe4-8983-837c3f130218
https://review.px4.io/plot_app?log=42c37087-c863-4423-9f11-c8bb517da99f

@davids5, please update the issue when you get a chance.

@Tony3dr , @dagar and I are looking in to the root cause. I will add to the PR https://github.com/PX4/Firmware/pull/10280  a commit with the filtering lowered for testing. But dagar suspects the issue is relates to the input rate to the EKF.

Please do a cautious flight test @PX4/testflights on master.
Please fly NXPHlite-v3  to test if this issue still is present.
If there are any comms issues* we will need to troubleshoot in real time on slack.
*(There is still  a hadfault when QGC is connected via USB - WIP)
Use real safety switch on all HW and cross test FMUv4, FMUv2  (2mb)

flight running master,(commit 5847ab4).
https://review.px4.io/plot_app?log=177abd89-3e18-44d0-9cd1-9376f2a28246
The thelemetry connection is already working, but has the same issue. the copter doesn't maintain altitud in alt mode with the throttle in 0 the copter it rose to 80 meters. Also the doesn't working the position mode and auto.

@dagar would you please have a look at the logs and give me some advice

@Avysuarez your GPS was never very good in that flight. Which external unit are you using?
The vehicle never attained a valid local position, global position, or home position.

@Avysuarez you could try changing COM_ARM_WO_GPS to require valid global position because it lets you arm.
I would try a different GPS unit if you have one available.

@dagar Ok, i'll try again

@dagar I tested again and the same issue, I waiting 5 minutes before take-off and the gps don't locked. I was change the GPS for one of cuav (ublox m8n).  I flew in stabilized and did respond to the radio and crashed!
https://review.px4.io/plot_app?log=0677d8ff-bb7f-4e68-925e-ed18c62ee2f8

(at the moment we do not have a vehicle to test nxphlite!)

@avysuarez replacement units sent

@igalloway can you please share the tracking info? Thanks.

@Tony3dr please test current maste on new hw when available.

@davids5 the hardware will be received tomorrow afternoon in our office. We will resume NXPhlite testing on Monday. We will let you know how it goes.

@davids5 @Tony3dr
I flew the nxp with the master and flew well in stabilized mode and altitude, but i had issues with the GPS, i was waiting more than 10 minutes and do not lock the position, rejected the position mode.
The GPS is a ready tosky ublox M8N.
https://review.px4.io/plot_app?log=dd59e88f-559a-4091-bdfd-5aeec11e840d
https://review.px4.io/plot_app?log=9a90fbf9-ddcb-41ef-a4af-f2a39028e230

@Avysuarez - Thank you! There is a issue with the board jamming the GPS. Work is being done to determine the cause.  Will let you know when we have something to test. FYI @igalloway @bkueng

The jamming indicator is not particularily high in these logs (around 20), but the reported accuracy is not good enough, which can also be due to the board.
Additional issue: the vibration levels on the vehicle are extremely high (especially in x-y), can you please fix the setup?

@bkueng
Working on the jamming issue: There is a build with a rounded the clock on the SD here https://github.com/PX4/Firmware/pull/10626

authors: Avysuarez Tony3dr bkueng dagar davids5 igalloway


text:
LANDING_TARGET: support on firmware

WIP

[x] add coder and decoder (receiver, streamer)
[x] add uORB topics and msg
[x] add sdlog2 logging support
[x] submodules: update nuttx and mavlink to latest versions
[ ] add usage

I'm waiting for https://github.com/mavlink/mavlink/pull/400 merging. Also https://github.com/mavlink/mavlink/pull/401 may become handy for the usage case.

@LorenzMeier is there a usage case you propose to implementing here? Maybe something similar as APM has to IRLock?

I'm closing this since its incomplete and untested. If it is implemented in a complete fashion I'm more than happy to merge it since it looks useful.


text:
Set number of UAVCAN interfaces on HW from top level cmake file

@LorenzMeier
UAVCAN will now work on FMUV4 HW.
Tested FMUV2 that node status shows CAN1 and CAN2  and on FMUV4 that is shows only CAN1 and did bootload of cannode.

Thanks!


text:
add Wifi TX mode parameter

to enable selecting WIFI transmit options on PixRacer

Superseded by rebased https://github.com/PX4/Firmware/pull/4686. This hopefully fixes CI.


text:
Feed the local planner's output into bezier curve trajectory msgs

Hi,
I found that PX4 1.11 would integrate a new trajectory msgs about bezier curve for avoidance.
Maybe the trajectory generated by the bezier curve is smoother than the discrete waypoints.
Anyone want to have a test about this on local planner (offboard mode is better)?
Joey

At the moment there isn't any plan to support Bezier trajectories for the local planner. If this is something that interests you, you can try to modify the planner. You can use mission mode directly, no need to use offboard. You only need to specify the correct type in the mavros_msgs::Trajectory

authors: JoeyLeeNPU mrivi


text:
Changing editor-version doesn't force re-export of pages

Steps to reproduce:

Set editor-version to v1 in antora-playbook.yml
Publish some pages to Confluence
Change editor-version to v2
Run antora-confluence again
Observe that pages still use legacy editor

The issue is that page hash only considers source page source: https://github.com/PacoVK/antora-confluence/blob/0.3.2/lib/service/PageService.ts#L422
Either antora-confluence needs to account for publishing settings (editor-version, maybe others) or there needs be some option to force re-publish.

Okay, actually v2 is broken currently. Trying to view v2 pages on cloud Confluence leads to server errors on their side :D

repo: PacoVK/antora-confluence


text:
pyramidbox_lite_mobile_mask模型导出为ONNX协议失败

问题描述
版本、环境信息
1）版本：paddlehub 2.2.0，paddlepaddle-gpu 2.2.2， paddle2onnx  0.9.8
2）系统环境：Windows10，python 3.7.13
模型：
pyramidbox_lite_mobile_mask==1.3.0
pyramidbox_lite_mobile==1.2.0
问题：
已通过save_inference_model将模型从paddleHub导出，尝试使用paddle2onnx将两个模型导出为onnx协议，其中pyramidbox_lite_mobile模型导出成功，但是pyramidbox_lite_mobile_mask导出失败。
命令：
paddle2onnx --model_dir mask_detector --model_filename __model__ --params_filename __params__  --save_file mask_cls.onnx --enable_onnx_checker True
报错：
Exception: Error happened when mapping node ['scale_0'] to onnx, which op_type is 'scale' with inputs: {'X': ['batch_norm_0.tmp_2']} a nd outputs: {'Out': ['scale_0.tmp_0']}, specific error: object of type 'NoneType' has no len()
全部报错信息：
Traceback (most recent call last):
File "...\pplearn\lib\site-packages\paddle2onnx\legacy\op_mapper\op_mapper.py", line 132, in mapping
mapper_func(graph, node, **kw)
File "..\pplearn\lib\site-packages\paddle2onnx\legacy\op_mapper\math.py", line 987, in opset_7
if len(node.input('ScaleTensor')) == 0 and np.fabs(
TypeError: object of type 'NoneType' has no len()
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "...\pplearn\lib\runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "...\pplearn\lib\runpy.py", line 85, in run_code
exec(code, run_globals)
File "...\pplearn\Scripts\paddle2onnx.exe_main.py", line 7, in
File "...\pplearn\lib\site-packages\paddle2onnx\command.py", line 224, in main
auto_update_opset=args.enable_auto_update_opset)
File "...\pplearn\lib\site-packages\paddle2onnx\command.py", line 148, in program2onnx
auto_update_opset)
File "...\pplearn\lib\site-packages\paddle2onnx\legacy\command.py", line 210, in program2onnx
output_names=output_names)
File "...\pplearn\lib\site-packages\paddle2onnx\convert.py", line 80, in program2onnx
operator_export_type, auto_update_opset, **configs)
File "...\pplearn\lib\site-packages\paddle2onnx\legacy\convert.py", line 102, in program2onnx
output_names=output_names)
File "...\pplearn\lib\site-packages\paddle2onnx\legacy\convert.py", line 37, in export_onnx
auto_update_opset)
File "...\pplearn\lib\site-packages\paddle2onnx\legacy\graph\onnx_graph.py", line 331, in build
onnx_graph.build_op_nodes(paddle_graph.node_map)
File "...\pplearn\lib\site-packages\paddle2onnx\legacy\graph\onnx_graph.py", line 209, in build_op_nodes
OpMapper.mapping(self, node, self.operator_export_type)
File "...\pplearn\lib\site-packages\paddle2onnx\legacy\op_mapper\op_mapper.py", line 137, in mapping
node.outputs) + str(e))
Exception: Error happened when mapping node ['scale_0'] to onnx, which op_type is 'scale' with inputs: {'X': ['batch_norm_0.tmp_2']} a
nd outputs: {'Out': ['scale_0.tmp_0']}, specific error: object of type 'NoneType' has no len()
请问问题是出在模型导出还是模型转化阶段呢？该如何解决？谢谢！
转换为onnx格式的原因：开发需要，统一协议框架；
联系方式：lucky_sorceress@163.com

麻烦升级paddle2onnx到1.0.0版本再试一下导出，如果还是转换失败，请提供一下Paddle模型，我这边来看看具体原因。

麻烦升级paddle2onnx到1.0.0版本再试一下导出，如果还是转换失败，请提供一下Paddle模型，我这边来看看具体原因。

您好！这边按您的建议升级到了paddle2onnx-1.0.0，重新尝试命令：paddle2onnx --model_dir mask_detector --model_filename __model__ --params_filenam e __params__  --save_file mask_cls.onnx --enable_onnx_checker True
报错信息发生变化，但仍不能顺利完成转换，报错信息如下:
[Paddle2ONNX] Start to parse PaddlePaddle model...
[Paddle2ONNX] Model file path: mask_detector\__model__
[Paddle2ONNX] Paramters file path: mask_detector\__params__
[Paddle2ONNX] Start to parsing Paddle model...
[ERROR] Cannot found attribute padding_algorithm in op: conv2d
模型文件请到网盘提取：
链接：https://pan.baidu.com/s/1o-yt4rc0H9zkPMQB1wpqrA
提取码：0elx
非常感谢！！

Paddle2ONNX支持Paddle2.0版本之后导出的模型，你这个模型应该是老版本的Paddle导出的，可以升级一下paddle再导出paddle模型吗？

您好，我再次确认了一下，我是在paddlepaddle-gpu 2.2.2，paddlehub  2.2.0的环境下
导出的模型。
具体操作如下：
hub install pyramidbox_lite_mobile_mask==1.3.0
hub install pyramidbox_lite_mobile==1.2.0
import paddlehub as hub
module = hub.Module(name="pyramidbox_lite_mobile_mask")
module.processor.save_inference_model(dirname="program")
得到如下文件，然后发给您的。

我对出现上述问题也感到非常奇怪，导出的模型参考教程也可以正常运行，只是在转换onnx协议时出现问题，o(╥﹏╥)o

你好，这个模型在hub中是paddle v1.6时期导出来的预训练模型，目前看起来导入这个预训练模型是没问题，但是使用paddle2onnx导出可能不太行了，你要不试试能不能直接去PaddleDetection中找到这个模型的全新版本

你好，这个模型在hub中是paddle v1.6时期导出来的预训练模型，目前看起来导入这个预训练模型是没问题，但是使用paddle2onnx导出可能不太行了，你要不试试能不能直接去PaddleDetection中找到这个模型的全新版本

您好！我认真翻阅了PaddleDetection项目，但是并没有发现这个模型或者说类似功能的模型，您方便的话请给一个链接；此外，难道paddle2onnx只支持paddle2.0以上的模型转换为onnx协议吗？

authors: StrongandSurvive rainyfly yeliang2258


text:
cyclegan推理的时候得到的图片的名称被改变，这样的话如何找到对应的图片？

训练了一个星期，用你们的这个框架，但是使用推理批量数据的时候发现图片名称被改变，而且批量推理数据的顺序也搞不懂，没法和推理前的图片对应，标注文件没法使用啊，有什么办法呢，我之前使用官方的cyclegan，名字也可以对应起来的。

你好，请问你是用的什么显卡进行训练？训练数据是什么？

repo: PaddlePaddle/PaddleGAN


text:
tansformer translation服务器部署时怎么利用tensorRT加速？

目前能利用吗？怎么用呢？谢谢！

您好，目前我们在tansformer类的模型上，使用tensorrt的精度还有问题，还不能利用tesnorrt做加速。

谢谢！

如果是希望加速的话也可以试下PaddleNLP中集成的FasterTransformer https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/machine_translation/transformer/faster_transformer

您好，根据你提出的需求，我们想进一步和您沟通下需求背景以及使用场景，以便更好得解答您的问题。这是我们的联系方式：邮箱Paddle-better@baidu.com，方便的话可以留下您的联系方式，我们 1 对 1 沟通下，谢谢！

authors: chenxiaozeng dlkht guoshengCS wawltor

repo: PaddlePaddle/PaddleNLP


text:
Change the _idx_to_token list to a dictionary

PR types
Function optimization

PR changes
Change the _idx_to_token list to a dictionary

Description
Optimize the problem of issue https://github.com/PaddlePaddle/PaddleNLP/issues/599

 Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.You have signed the CLA already but the status is still pending? Let us recheck it.

Resolve #599

authors: BFJL CLAassistant ZeyuChen


text:
Add files via upload

PR types

PR changes

Describe

 Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.You have signed the CLA already but the status is still pending? Let us recheck it.

authors: CLAassistant dylan-yin

repo: PaddlePaddle/PaddleScience


text:
python pipeline serving 启动报error，但是服务是正常的

环境 linux
paddlepaddle 2.3.0
paddleserving 0.9.0
cuda 11.3 cudnn 8.2.1 tensorRT 8.0.1.6
报错信息：
[convolutionRunner.cpp::executeConv::458] Error Code 1: Cudnn (CUDNN_STATUS_BAD_PARAM)

但是我调用这个服务，服务是能正常预测和响应的。
希望得到解答！

我发现用trt就会这样，版本换成cuda11.2 + cudnn8.2.1 + trt 8.0.3.4 ，某些图片进行预测时也会报同样的错误，但是预测的结果是正确的

您好，我想问下，局域网内如何调用docker部署好的服务？谢谢

repo: PaddlePaddle/Serving


text:
自己训练导出的模型，HTTP Service部署后预测失败

使用上图示例是可以成功的，自己训练完模型后，按照Paddle Serving部署模型导出也是成功的，使用导出的模型按照示例HTTP Service部署成功后，预测时失败。

上图左边是自己导出后的serving_server_conf.prototxt，右边是示例中的文件。使用curl -H "Content-Type:application/json" -X POST -d '{"feed":[{"image": "https://paddle-serving.bj.bcebos.com/imagenet-example/daisy.jpg"}], "fetch": ["score"]}' http://127.0.0.1:9696/image/prediction命令预测图片，需要改动哪里？fetch:[]参数里面改了下也不行，还有起服务的脚本需要如何修改。求帮助，谢谢。

加了imsize：但还是不行

我是使用yolov4训练出的模型，想用HTTP Service部署，使用curlpost包进行预测的方式，希望给个例子。谢了！

收到case，我们会尽快提供检测任务的可视化demo

收到case，我们会尽快提供检测任务的可视化demo

感谢！好了给个连接吧，最近比较急，要使用。

收到case，我们会尽快提供检测任务的可视化demo

感谢！好了给个连接吧，最近比较急，要使用。

方便给个模型让我测试一下吗，以及还有报的是什么样的错误。

收到case，我们会尽快提供检测任务的可视化demo

感谢！好了给个连接吧，最近比较急，要使用。

方便给个模型让我测试一下吗，以及还有报的是什么样的错误。

可以的，模型的部署没有报错，就是使用时不知道怎么使用，我模型怎么给你？

收到case，我们会尽快提供检测任务的可视化demo

感谢！好了给个连接吧，最近比较急，要使用。

方便给个模型让我测试一下吗，以及还有报的是什么样的错误。

这我qq，986548155，可以的话，加qq我给您吧？

或者您在飞桨交流3群里吗，我从那跟您说

收到case，我们会尽快提供检测任务的可视化demo

感谢！好了给个连接吧，最近比较急，要使用。

方便给个模型让我测试一下吗，以及还有报的是什么样的错误。

我使用时，应该时这个参数不知道填什么，我自己yolov4训练的模型和你们提供的yolov3_r50vd_dcn_obj365_pretrained模型，使用tools/export_serving_model.py导出方式后，导出的文件需要都是下图这样，im_size参数填写不知如何写，写上后也报错，导出后模型的部署是没有问题的。帮忙看看吧，谢谢了！

收到case，我们会尽快提供检测任务的可视化demo

感谢！好了给个连接吧，最近比较急，要使用。

方便给个模型让我测试一下吗，以及还有报的是什么样的错误。

这我qq，986548155，可以的话，加qq我给您吧？

好的

用yolov3自己训练的模型同样碰到这个问题，麻烦能给个yolov3的demo不？

我也是使用yolov3训练出的模型，想用HTTP Service部署，使用curlpost包进行预测的方式，希望给个例子

模型的部署没有报错，就是使用时不知道怎么使用，我模型怎么给

请问有例子了吗

我也是使用yolov3训练出的模型，想用HTTP Service部署，使用curlpost包进行预测的方式，希望给个例子

请问有对应的例子提供了吗，我也需要使用curl post的方式预测

加载自己的训练模型，报错，有没有大神给指导一下
`Traceback (most recent call last):
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle_serving_server/pipeline/error_catch.py", line 97, in wrapper
res = func(*args, **kw)
File "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddle_serving_server/pipeline/error_catch.py", line 160, in wrapper
raise CustomException(CustomExceptionCode.INPUT_PARAMS_ERROR, "invalid arg list: {}".format(invalid_argument_list), True)
paddle_serving_server.pipeline.error_catch.CustomException:
exception_code: 5000
exception_type: INPUT_PARAMS_ERROR
error_msg: invalid arg list: ['feed_batch']
is_send_to_user: True
Classname: Op.process..feed_fetch_list_check_helper
FunctionName: feed_fetch_list_check_helper
Args: ([{'x': array([[[[-1.0904187 , -1.0904187 , -1.0904187 , ..., -0.439678  ,
-0.439678  , -0.439678  ],
[-1.0732939 , -1.0732939 , -1.0732939 , ..., -0.439678  ,
-0.439678  , -0.439678  ],
[-1.0390444 , -1.0390444 , -1.0390444 , ..., -0.439678  ,
-0.439678  , -0.42255327],
...,
[-0.35405427, -0.35405427, -0.35405427, ..., -0.19993149,
-0.11430772, -0.11430772],
[-0.11430772, -0.11430772, -0.11430772, ..., -0.21705623,
-0.13143247, -0.13143247],
[-0.11430772, -0.09718297, -0.09718297, ..., -0.21705623,
-0.14855723, -0.13143247]],
    [[-1.0903361 , -1.0903361 , -1.0903361 , ..., -0.12745096,
      -0.12745096, -0.12745096],
     [-1.0728291 , -1.0728291 , -1.0728291 , ..., -0.16246496,
      -0.16246496, -0.16246496],
     [-1.0378151 , -1.0378151 , -1.0378151 , ..., -0.19747896,
      -0.21498597, -0.21498597],
     ...,
     [-0.460084  , -0.442577  , -0.442577  , ..., -0.81022406,
      -0.652661  , -0.60014004],
     [-0.21498597, -0.21498597, -0.21498597, ..., -0.827731  ,
      -0.687675  , -0.60014004],
     [-0.24999997, -0.23249297, -0.23249297, ..., -0.827731  ,
      -0.705182  , -0.617647  ]],

    [[-0.8458388 , -0.8458388 , -0.8458388 , ...,  0.26962963,
       0.26962963,  0.26962963],
     [-0.8284096 , -0.8284096 , -0.8284096 , ...,  0.23477125,
       0.23477125,  0.23477125],
     [-0.7935512 , -0.7935512 , -0.7935512 , ...,  0.19991288,
       0.19991288,  0.19991288],
     ...,
     [-0.27067533, -0.27067533, -0.27067533, ..., -0.7064052 ,
      -0.61925924, -0.61925924],
     [-0.02666664, -0.02666664, -0.02666664, ..., -0.72383446,
      -0.61925924, -0.61925924],
     [-0.06152503, -0.04409584, -0.04409584, ..., -0.72383446,
      -0.6366884 , -0.61925924]]]], dtype=float32)}], ['multiclass_nms3_0.tmp_0', 'multiclass_nms3_0.tmp_2'])

ERROR 2023-06-28 10:07:53,042 [operator.py:1079] [det] failed to predict. Log_id: 0  Raise_msg:  invalid arg list  ClassName: Op.process..feed_fetch_list_check_helper  FunctionName: feed_fetch_list_check_helper. Please check the input dict and checkout PipelineServingLogs/pipeline.log for more details.
INFO 2023-06-28 10:07:53,042 [operator.py:1454] prometheus inf count +1
ERROR 2023-06-28 10:07:53,044 [dag.py:420] (data_id=0 log_id=0) Failed to predict: [det] failed to predict. Log_id: 0  Raise_msg:  invalid arg list  ClassName: Op.process..feed_fetch_list_check_helper  FunctionName: feed_fetch_list_check_helper. Please check the input dict and checkout PipelineServingLogs/pipeline.log for more details.
`