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fixed run_video.py issue -> (skeleton points not being displayed) #1

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fixed run_video.py issue -> (skeleton points not being displayed) #1

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90481c6
fixed run_video.py issue -> (skeleton points not being displayed)
murtaza98 Dec 19, 2019
5b090ca
updated requirements.txt
murtaza98 Feb 24, 2020
36fbaa1
hide the estimated pose visuals
murtaza98 Feb 27, 2020
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4 changes: 4 additions & 0 deletions .gitignore
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Original file line number Diff line number Diff line change
Expand Up @@ -118,3 +118,7 @@ models/pretrained/resnet_v2_101/train.graph
src/pafprocess/pafprocess.py
src/pafprocess/pafprocess_wrap.cpp
src/pafprocess/pafprocess_wrap.cxx
.idea
poese_demo_3.mp4
*.mp4
json*
2 changes: 2 additions & 0 deletions requirements.txt
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Expand Up @@ -9,3 +9,5 @@ scipy
slidingwindow
tqdm
git+https://github.com/ppwwyyxx/tensorpack.git
opencv-python
tensorflow==1.4.1
6 changes: 4 additions & 2 deletions run_video.py
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Expand Up @@ -28,6 +28,8 @@
help='for debug purpose, if enabled, speed for inference is dropped.')
parser.add_argument('--showBG', type=bool, default=True, help='False to show skeleton only.')
parser.add_argument('--output_json', type=str, default='/tmp/', help='writing output json dir')
parser.add_argument('--resize-out-ratio', type=float, default=4.0,
help='if provided, resize heatmaps before they are post-processed. default=1.0')
args = parser.parse_args()

logger.debug('initialization %s : %s' % (args.model, get_graph_path(args.model)))
Expand All @@ -42,13 +44,13 @@
while cap.isOpened():
ret_val, image = cap.read()

humans = e.inference(image)
humans = e.inference(image, resize_to_default=(w > 0 and h > 0), upsample_size=args.resize_out_ratio)
if not args.showBG:
image = np.zeros(image.shape)
image = TfPoseEstimator.draw_humans(image, humans, imgcopy=False, frame=frame, output_json_dir=args.output_json)
frame += 1
cv2.putText(image, "FPS: %f" % (1.0 / (time.time() - fps_time)), (10, 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
cv2.imshow('tf-pose-estimation result', image)
#cv2.imshow('tf-pose-estimation result', image)
fps_time = time.time()
if cv2.waitKey(1) == 27:
break
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