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Update app.py
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app.py
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@@ -13,6 +13,7 @@ import cv2
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from mmpose.apis import (inference_top_down_pose_model, init_pose_model,
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vis_pose_result, process_mmdet_results)
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from mmdet.apis import inference_detector, init_detector
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pose_config = 'configs/topdown_heatmap_hrnet_w48_coco_256x192.py'
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pose_checkpoint = 'hrnet_w48_coco_256x192-b9e0b3ab_20200708.pth'
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@@ -45,6 +46,9 @@ def predict(img):
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#vis_result = cv2.resize(vis_result, dsize=None, fx=0.5, fy=0.5)
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print(f"POSE_RESULTS: {pose_results}")
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return vis_result
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example_list = ['examples/demo2.png']
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from mmpose.apis import (inference_top_down_pose_model, init_pose_model,
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vis_pose_result, process_mmdet_results)
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from mmdet.apis import inference_detector, init_detector
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from PIL import Image
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pose_config = 'configs/topdown_heatmap_hrnet_w48_coco_256x192.py'
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pose_checkpoint = 'hrnet_w48_coco_256x192-b9e0b3ab_20200708.pth'
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#vis_result = cv2.resize(vis_result, dsize=None, fx=0.5, fy=0.5)
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print(f"POSE_RESULTS: {pose_results}")
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pose_image = Image.fromarray(pose_results)
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print(f"POSE_IMAGE: {pose_image}")
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#pose_image.save("pose_frame_" + ".jpeg")
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return vis_result
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example_list = ['examples/demo2.png']
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