Ecosyste.ms: Issues
An open API service for providing issue and pull request metadata for open source projects.
GitHub / HRNet/HRNet-Semantic-Segmentation issues and pull requests
#100 - runtime error after running 11 epochs
Issue -
State: closed - Opened by divyansharma almost 5 years ago
- 2 comments
#99 - How to visualize the results?
Issue -
State: open - Opened by seawei1993 almost 5 years ago
- 3 comments
#98 - 'trainval_merged.json' when training pascal_ctx dataset
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State: open - Opened by Liupengshuaige almost 5 years ago
#97 - why "Only Support SGD optimizer" ?
Issue -
State: closed - Opened by aisegmentcn almost 5 years ago
- 2 comments
#96 - how the get the coordinates of keypoint from the output of the model
Issue -
State: open - Opened by bengadisoufiane almost 5 years ago
- 1 comment
#95 - How to reproduce this work on another dataset
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State: open - Opened by bengadisoufiane almost 5 years ago
- 1 comment
#94 - how can i train hrnet in one single GPU? thanks.
Issue -
State: closed - Opened by neverstoplearn almost 5 years ago
- 10 comments
#93 - How to use coarsely annotated data for cityscapes
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State: open - Opened by verymadmatt almost 5 years ago
- 1 comment
#92 - 2 pixels off (vertically)
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State: open - Opened by marcok almost 5 years ago
- 2 comments
#91 - performance gap of HRNetV2+OCR on cityscape val set using default config
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State: open - Opened by verymadmatt almost 5 years ago
- 18 comments
#90 - SegFix Operation ?
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State: open - Opened by AssassinCroc almost 5 years ago
- 9 comments
#89 - Problem Importing Module
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State: closed - Opened by luizok almost 5 years ago
- 1 comment
#88 - Does the HRNet-OCR branch support pytorch1.1.0?
Issue -
State: closed - Opened by macn3388 almost 5 years ago
#87 - Downloading HRNetV2-W48 + OCR
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State: closed - Opened by adrienju almost 5 years ago
- 2 comments
#86 - About seg_hrnet_w18_small_v2 Training accuracy
Issue -
State: open - Opened by PlutoMgc almost 5 years ago
- 1 comment
#85 - performance on pytorch1.1.0
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State: closed - Opened by dreamPoet almost 5 years ago
- 3 comments
#84 - 有关特征融合的方式
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State: closed - Opened by ysssgdhr almost 5 years ago
- 2 comments
#83 - where is the code for object context?
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State: closed - Opened by Epiphqny almost 5 years ago
- 1 comment
#82 - Training process stuk in first iteration
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State: closed - Opened by dreamPoet almost 5 years ago
- 3 comments
#81 - 训练数据resize的一个疑问
Issue -
State: closed - Opened by taasoo almost 5 years ago
- 2 comments
#80 - Wrong verfication code for HRNetV2-W18-Small-v2 and duplicate in big models
Issue -
State: open - Opened by dreamPoet almost 5 years ago
- 2 comments
#79 - The size of origin prediction
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State: closed - Opened by ysssgdhr almost 5 years ago
- 6 comments
#78 - Performance on Pascal Context
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State: closed - Opened by AtsukiOsanai almost 5 years ago
- 3 comments
#77 - Hello author! My criterion remain unchanged during the training.......
Issue -
State: closed - Opened by ysssgdhr almost 5 years ago
- 5 comments
#76 - Image size differece between training and testing
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State: open - Opened by AtsukiOsanai almost 5 years ago
- 4 comments
#75 - Is there any tool for human pose label?
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State: closed - Opened by xvolica almost 5 years ago
- 1 comment
#74 - 训练时间问题 The training time
Issue -
State: closed - Opened by suay1113 almost 5 years ago
- 1 comment
#73 - Single class segmentation
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State: closed - Opened by jodusan almost 5 years ago
- 1 comment
#72 - Whether the results can be better or worse if we replace the nearest neigbor resize into transpose convolution operation?
Issue -
State: closed - Opened by yeephycho almost 5 years ago
- 2 comments
#71 - pytorch 1.1.0
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State: closed - Opened by yyfyan about 5 years ago
- 2 comments
#70 - nan appears.
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State: closed - Opened by t16cs056 about 5 years ago
- 6 comments
#69 - debug branch pytorch1.1.0
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State: closed - Opened by zccyman about 5 years ago
- 5 comments
#68 - AttributeError: 'NoneType' object has no attribute 'shape'
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State: closed - Opened by Alexyitx about 5 years ago
- 5 comments
#67 - performance gap with pytorch 0.4.1: mIoU 79.99
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State: open - Opened by Wangzhuoying0716 about 5 years ago
- 10 comments
#66 - Evaluate model on cityscapes test data without GPU
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State: closed - Opened by ritvik-ranadive about 5 years ago
- 1 comment
#65 - no results in task"Evaluating our model on the Cityscapes test set with multi-scale and flip testing"
Issue -
State: closed - Opened by haohuazhu about 5 years ago
- 4 comments
#64 - No such file or directory :'json/trainval_merged.json'
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State: closed - Opened by haohuazhu about 5 years ago
- 2 comments
#63 - No such file or directory: 'hrnet_w48_cityscapes_cls19_1024x2048_trainset.pth'
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State: closed - Opened by haohuazhu about 5 years ago
#62 - AttibuteError
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State: open - Opened by jwangjie about 5 years ago
- 6 comments
#61 - train.py: error: unrecognized arguments: --local_rank=3 -m
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State: closed - Opened by haohuazhu about 5 years ago
- 1 comment
#60 - can run on mobile devices?
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State: closed - Opened by mmxuan18 about 5 years ago
- 2 comments
#59 - The performance gap
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State: open - Opened by MandyMo about 5 years ago
- 16 comments
#58 - Run on a single GPU
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State: closed - Opened by morawi about 5 years ago
- 2 comments
#57 - testing error with ninja
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State: closed - Opened by Ximoi about 5 years ago
- 1 comment
#56 - How can i visualize the predicted results
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State: closed - Opened by Epiphqny about 5 years ago
- 5 comments
#55 - How can i use the best model
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State: open - Opened by XuShoweR about 5 years ago
- 3 comments
#54 - Permission denied: '/tmp/torch_extensions/inplace_abn/lock'
Issue -
State: closed - Opened by jeewa985 about 5 years ago
#53 - the size of trainning data
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State: closed - Opened by zhangyunming about 5 years ago
- 1 comment
#52 - Image Size Issue
Issue -
State: closed - Opened by HamzaFarhan about 5 years ago
- 2 comments
#51 - Unable to reproduce `seg_hrnet_w18_small_v1`
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State: closed - Opened by alvinwan about 5 years ago
- 7 comments
#50 - RuntimeError: cuda runtime error (59) : device-side assert triggered at /opt/conda/conda-bld/pytorch_1535491974311/work/aten/src/THC/generated/../THCReduceAll.cuh:317 terminate called after throwing an instance of 'at::Error'
Issue -
State: closed - Opened by YijianLiu about 5 years ago
- 11 comments
#49 - transform the model into ScriptModules
Issue -
State: closed - Opened by toyal about 5 years ago
- 7 comments
#48 - questions about LIP dataset labels.
Issue -
State: closed - Opened by Nyquist0 about 5 years ago
- 3 comments
#47 - I have some doubts about the training results.
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State: closed - Opened by ngunauj about 5 years ago
- 6 comments
#46 - Training got stuck while no log in cmd line
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State: closed - Opened by ehion about 5 years ago
- 4 comments
#45 - Not necessary to save checkpoint every epoch
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State: closed - Opened by ehion about 5 years ago
- 1 comment
#44 - May I ask how you compute the 'class_weight' of dataset Class Cityscapes?
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State: closed - Opened by YuxuanChen98 about 5 years ago
- 2 comments
#43 - InPlaceABNSync error in torch=0.4.0, and inplace_abn.so error in torch=0.4.1
Issue -
State: open - Opened by Ximoi about 5 years ago
#42 - Why do you have to make the network so complicated and so difficult to run?
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State: open - Opened by upupbo about 5 years ago
- 1 comment
#41 - RuntimeError: weight tensor should be defined either for all or no classes
Issue -
State: closed - Opened by YijianLiu over 5 years ago
- 2 comments
#40 - some problem
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State: closed - Opened by yyfyan over 5 years ago
- 3 comments
#39 - subprocess.CalledProcessError: Command '['where', 'cl']' returned non-zero exit status 1.
Issue -
State: open - Opened by WitGotFlg over 5 years ago
- 17 comments
#38 - About training epoches on custom data
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State: closed - Opened by cch2016 over 5 years ago
- 2 comments
#37 - Training on Custom Data
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State: open - Opened by DecentMakeover over 5 years ago
- 5 comments
#36 - Error when exporting the model to ONNX
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State: open - Opened by nitrif over 5 years ago
#35 - ValueError: Error initializing torch.distributed using env:// rendezvous: environment variable RANK expected, but not set
Issue -
State: closed - Opened by jianlong-yuan over 5 years ago
- 4 comments
#34 - wrong loss value logged in the pytorch 1.1 version
Issue -
State: closed - Opened by lijing1996 over 5 years ago
#33 - Regarding to the problem related to ninja...
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State: open - Opened by frostinassiky over 5 years ago
- 6 comments
#32 - using 'Pytorch-v1.1' verison code
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State: closed - Opened by cch2016 over 5 years ago
- 5 comments
#31 - run for my own data
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State: open - Opened by SuperMisswei over 5 years ago
#30 - 诡异错误AssertionError: Invalid device id
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State: closed - Opened by jwnirvana over 5 years ago
- 3 comments
#29 - What's the meaning of each predicted label?
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State: closed - Opened by xianshunw over 5 years ago
#28 - Why use abn instead of bn?
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State: closed - Opened by zhoulukuan over 5 years ago
- 8 comments
#27 - 请问您有用coco数据集做预训练?
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State: closed - Opened by GuangyanZhang over 5 years ago
- 3 comments
#26 - stuck during training
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State: closed - Opened by world4jason over 5 years ago
- 10 comments
#25 - subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.
Issue -
State: closed - Opened by gazelxu over 5 years ago
- 15 comments
#24 - have you train pascal voc 2012 dataset?
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State: open - Opened by GuangyanZhang over 5 years ago
- 3 comments
#23 - Inference time
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State: open - Opened by mengzhibin over 5 years ago
#22 - How to use Mapillary dataset for Cityscapes Benchmark?
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State: open - Opened by gonglixue over 5 years ago
- 1 comment
#21 - need your help
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State: closed - Opened by sde123 over 5 years ago
- 7 comments
#20 - RuntimeError: Ninja is required to load C++ extensions
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State: closed - Opened by GuangyanZhang over 5 years ago
- 27 comments
#19 - Why is `nn.ReLU(inplace=False)` set for most activations?
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State: closed - Opened by huanglianghua over 5 years ago
- 2 comments
#18 - May I ask, I want to train PASCAL, how should I run? I didn't change anything, but I made a mistake in running, thank you
Issue -
State: open - Opened by andrew-begain over 5 years ago
- 4 comments
#17 - Inconsistent size between output and target
Issue -
State: closed - Opened by yftzz over 5 years ago
- 6 comments
#16 - Could you give some reference about the training time? For me, the training time for cityscapes is about 50h using 8gpu with BS16.
Issue -
State: open - Opened by zhangyuxuan1996 over 5 years ago
- 1 comment
#15 - There seems to be no exchange/fuse in the transition layer according to the code
Issue -
State: closed - Opened by DragoniteDD over 5 years ago
- 3 comments
#14 - The order of image_size is incorrect?
Issue -
State: closed - Opened by jonbakerfish over 5 years ago
#13 - A question about multi_scale_output
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State: closed - Opened by bigroad111 over 5 years ago
- 3 comments
#12 - The 2nd, 3rd, 4th stages contain 1, 4,3 multi-resolution blocks, respectively
Issue -
State: closed - Opened by miaoYuanyuan over 5 years ago
- 1 comment
#11 - how does this model pretrain on imagenet?
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State: closed - Opened by argman over 5 years ago
- 2 comments
#10 - Ninja related error during training
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State: closed - Opened by zhouhao-learning over 5 years ago
- 7 comments
#9 - The download link for the cityscape smodel cannot be opened.Can you check it for me? Thank you.
Issue -
State: closed - Opened by mqchen1993 over 5 years ago
- 5 comments
#8 - ImportError: No module named 'inplace_abn'
Issue -
State: closed - Opened by Smoltbob over 5 years ago
- 2 comments
#7 - Cannot run the code, ninja error
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State: closed - Opened by Smoltbob over 5 years ago
- 4 comments
#6 - LIP Dataset Performance
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State: closed - Opened by GoGoDuck912 over 5 years ago
- 7 comments
#5 - Mistaken reference
Issue -
State: closed - Opened by LinaShanghaitech over 5 years ago
- 1 comment
#4 - Transition layer in your code is inconsistent with your paper
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State: closed - Opened by elias-1 over 5 years ago
- 1 comment
#3 - InPlaceABNSync error
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State: closed - Opened by nemonameless over 5 years ago
- 7 comments
#2 - Graph vs code differences
Issue -
State: closed - Opened by bhack over 5 years ago
- 4 comments
#1 - Update lip.py
Pull Request -
State: closed - Opened by lijing1996 over 5 years ago
- 1 comment