MEBOW
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Code for "MEBOW: Monocular Estimation of Body Orientation In the Wild", CVPR 2020
Hi, I am trying to write a demo to inference on a single image, I use the follwing code: - img = Image.open(img_path) img = data_transform(img) img = torch.unsqueeze(img, dim=0)...
Currently, I am trying to test with the pretrained_HBOE model. But I don't know how to edit python tools/test.py --cfg experiments/coco/segm-4_lr1e-3.yaml in the Testing on MEBOW dataset chapter and what...
I tried to run inference on my own image with the pretrained hboe model, but it does not output good result at all. It always outputs angle between 175 ~...
I use the same setting,include number of GPUS, batch size(all the same as the yaml in the config),hoe_sigma=4,however,my result is like this acc5 acc15 acc22.5 acc30 acc45 68.2 89.7 93.1...