human-pose-estimation.pytorch
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The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
Thanks for great repo! I noticed the spatial resolution is reduced by large factor (in one network it's 32) with MaxPooling and Conv(stride>1) which decreases the spatial resolution to less...
I am planning to tune the pretrained coco model on a tagged custom dataset. In the .yaml file, I can see we can give resent50 as pretrained model. Is there...
As the subject states: the instructions to fetch and make this repo are simply not geared towards Win10 users, and are both incorrect and very frustrating. There needs to be...
How can I disable cudnn for batch_norm in Windows 10? I tried to run the code with out doing it, I got this output: File "C:\Users\pc\Desktop\pose-project\human-pose-estimation.pytorch-master\pose_estimation\..\lib\core\function.py", line 52, in train...
## Converting to ONNX To convert PyTorch model to ONNX format run script: ``` python pose_estimation/convert.py --cfg experiments/coco/resnet152/384x288_d256x3_adam_lr1e-3.yaml --model-file pose_estimation/pose_resnet_152_384x288.pth.tar ``` ## Visualization To show processed image run script: ```...
Thanks for you pose estimation code. According to your paper,your method of tracking is also great, so will you release the tracking code?
Hi , Thanks for your great paper, I am also interested in your tracking code, How can we access to that? Thanks,
why pred * 4? in function.py ``` save_debug_images(config, input, meta, target, pred*4, output,prefix) ```
File "C:\Users\Jackson\Anaconda3\envs\human_pose_estimation\lib\site-packages\torchvision\models\segmentation\segmentation.py", line 1, in from .._utils import IntermediateLayerGetter File "C:\Users\Jackson\Anaconda3\envs\human_pose_estimation\lib\site-packages\torchvision\models\_utils.py", line 7, in class IntermediateLayerGetter(nn.ModuleDict): AttributeError: module 'torch.nn' has no attribute 'ModuleDict'