SimpleBaseline
[ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
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./tools/dist_train_semi.sh configs/semi_deeplabv3/config_example.yaml 8
[ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
Overview
Comments
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Regarding computational power and training time
opened by mradul2 1Hello! Thank you for your code implementation.
It would be very helpful if you mention approximately how much time was required for the model training per experiment. And what computational devices were being used during the experiments (Number and type of GPU/TPU's).
Looking forward to hearing from you soon.
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CVE-2007-4559 Patch
opened by TrellixVulnTeam 0Patching CVE-2007-4559
Hi, we are security researchers from the Advanced Research Center at Trellix. We have began a campaign to patch a widespread bug named CVE-2007-4559. CVE-2007-4559 is a 15 year old bug in the Python tarfile package. By using extract() or extractall() on a tarfile object without sanitizing input, a maliciously crafted .tar file could perform a directory path traversal attack. We found at least one unsantized extractall() in your codebase and are providing a patch for you via pull request. The patch essentially checks to see if all tarfile members will be extracted safely and throws an exception otherwise. We encourage you to use this patch or your own solution to secure against CVE-2007-4559. Further technical information about the vulnerability can be found in this blog.
If you have further questions you may contact us through this projects lead researcher Kasimir Schulz.
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Question for Figure 1 in Paper
opened by ldkong1205 0Thank you for your work!
I wonder how did you draw Figure 1 in your paper? Which BN layer did you choose to calculate the running mean and variance? Which dataset did you use? Thanks!
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When I use the cityscapes dataset for training, I encounter an error when loading the model. How to solve this problem?
opened by a139122679 12021-12-23 11:41:25,981 Segmentron INFO: train_fine data num 2975 2021-12-23 11:41:26,012 Segmentron INFO: train_fine data num 2975 2021-12-23 11:41:26,017 Segmentron INFO: val_fine data num 500 2021-12-23 11:41:26,763 Segmentron INFO: DSSyncBatchNorm is effective! Traceback (most recent call last): File "tools/train_semi.py", line 284, in
trainer = Trainer(args) File "tools/train_semi.py", line 79, in init self.model = get_segmentation_model().to(self.device) File "/user/lwx1055260/ID2450_SimpleBaseline_for_pytorch/segmentron/models/model_zoo.py", line 27, in get_segmentation_model load_model_pretrain(model) File "/user/lwx1055260/ID2450_SimpleBaseline_for_pytorch/segmentron/models/model_zoo.py", line 34, in load_model_pretrain assert os.path.exists(cfg.TRAIN.PRETRAINED_MODEL_PATH) AssertionError THCudaCheck FAIL file=/pytorch/aten/src/THC/THCCachingHostAllocator.cpp line=278 error=4 : driver shutting down -
About the script that used in VOC2012 dataset
opened by revaeb 1I'm trying to reproduce your marvelous work as my baseline, but it really confuses me a lot that the uploaded script seems just like a draft. Could your plz offer me the script that you used in the experiments on VOC 2012 dataset? Thank you so much.
Owner
CodingMan
Interested in Dense Prediction, such as Depth Estimation and Semantic Segmentation
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