microsoft / human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
MIT License
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test on my own dataset #118

Open WangZhaoxue opened 5 years ago

WangZhaoxue commented 5 years ago
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
256x192_pose_resnet_50_d256d256d256 0.000

what can i do?

zorica-zdravkovska commented 1 year ago

Hello can you please explain how did you use the model for your own dataset?