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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)"

Results 103 human-pose-estimation.pytorch issues
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when i try to test on test2017 dataset, i got the following information: => num_images: 20288 => load 0 samples => Writing results json to output/coco/pose_resnet_50/256x192_d256x3_adam_lr1e-3/results/keypoints_test_results.json | Arch | Null...

/home/gyc/anaconda3/envs/py36/lib/python3.6/site-packages/torch/nn/functional.py:52: UserWarning: size_average and reduce args will be deprecated, please use reduction='elementwise_mean' instead. warnings.warn(warning.format(ret)) => load 2958 samples => fail to read data/mpii/images/005808361.jpg => fail to read data/mpii/images/080936116.jpg => fail...

/root/anaconda3/bin/python /home/dell/下载/human-pose-estimation.pytorch-master/pose_estimation/valid.py --cfg ../experiments/mpii/resnet152/256x256_d256x3_adam_lr1e-3.yaml --flip-test --model-file ../models/pytorch/pose_mpii/pose_resnet_152_256x256.pth.tar => creating output/mpii/pose_resnet_152/256x256_d256x3_adam_lr1e-3 => creating log/mpii/pose_resnet_152/256x256_d256x3_adam_lr1e-3_2019-03-20-21-12 Namespace(cfg='../experiments/mpii/resnet152/256x256_d256x3_adam_lr1e-3.yaml', coco_bbox_file=None, flip_test=True, frequent=100, gpus=None, model_file='../models/pytorch/pose_mpii/pose_resnet_152_256x256.pth.tar', post_process=False, shift_heatmap=False, use_detect_bbox=False, workers=None) {'CUDNN': {'BENCHMARK': True, 'DETERMINISTIC': False, 'ENABLED': True},...

I just follow the step to test coco dataset,the output is person's keypoints rather than connected joints.I have no too much experience about pose estimation. Don't you put out the...

Hi all, i have a problem when connect cuda with the codes by running "make" in (ROOT)/lib. They search cuda path at the host (e.g. /usr/local/cuda-9.0/), but in anaconda environment,...

I was trying to reproduce your algorithm of the tracking part. But there's a really specific detail that I can't figure out how to manage to complete. You got the...

This code is in core/loss.py: `heatmaps_pred = output.reshape((batch_size, num_joints, -1)).split(1, 1)` I was just wondering what is the `split(1,1)` for? I From my understanding it splits the tensor into equally...

here is log of error: -------------------------------------------- /home/boyun/anaconda3/envs/tc0.40/bin/python /home/boyun/PycharmProjects/Humanpose/MultiPose/MSRA_BASELINE/human-pose-estimation.pytorch/pose_estimation/train.py => creating output/coco/pose_resnet_101/384x288_d256x3_adam_lr1e-3 Namespace(cfg='experiments/coco/resnet101/384x288_d256x3_adam_lr1e-3.yaml', frequent=5, gpus=None, workers=None) => creating log/coco/pose_resnet_101/384x288_d256x3_adam_lr1e-3_2019-01-24-14-54 {'CUDNN': {'BENCHMARK': True, 'DETERMINISTIC': False, 'ENABLED': True}, 'DATASET': {'DATASET': 'coco', 'DATA_FORMAT': 'jpg',...

Hi, We have re-implemented the estimation model in [GluonCV](https://gluon-cv.mxnet.io/). We also achieve slightly higher AP by using pre-trained ResNet with higher accuracy: https://gluon-cv.mxnet.io/model_zoo/pose.html Besides, you mentioned in https://github.com/Microsoft/human-pose-estimation.pytorch/issues/2 that the...

First of all , thank for you awesome project. For to use the pose estimator on real-time, I insert YOLOv3 to get human bbox, now I want test the AP...