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fixed mmpose reproj

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davidpagnon 2024-10-09 13:00:05 +02:00
parent c92be0a09d
commit 5484812929
1 changed files with 11 additions and 8 deletions
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17
Pose2Sim/Utilities/reproj_from_trc_calib.py
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@ -14,7 +14,7 @@
the OpenPose format. If OpenPose is chosen, the HALPE_26 model is used,
with ear and eye at coordinates (0,0) since they are not used by Pose2Sim.
You can change the MODEL tree to a different one if you need to reproject
in OpenPose format with a different model than HALPLE_26.
in OpenPose format with a different model than HALPE_26.
New: Moving cameras and zooming cameras are now supported.
@ -339,10 +339,12 @@ def reproj_from_trc_calib_func(**args):
# Replace by nan when reprojection out of image
for cam in range(len(P_all_frame)):
x_above_size = data_proj[cam].iloc[:,::2] < calib_params_size[cam][0]
data_proj[cam].iloc[:, ::2] = data_proj[cam].iloc[:, ::2].where(x_above_size, np.nan)
y_above_size = data_proj[cam].iloc[:,1::2] < calib_params_size[cam][1]
data_proj[cam].iloc[:, 1::2] = data_proj[cam].iloc[:, 1::2].where(y_above_size, np.nan)
x_valid = data_proj[cam].iloc[:,::2] < calib_params_size[cam][0]
y_valid = data_proj[cam].iloc[:,1::2] < calib_params_size[cam][1]
data_proj[cam].iloc[:, ::2] = data_proj[cam].iloc[:, ::2].where(x_valid, np.nan)
data_proj[cam].iloc[:, 1::2] = data_proj[cam].iloc[:, ::2].where(x_valid, np.nan)
data_proj[cam].iloc[:, ::2] = data_proj[cam].iloc[:, 1::2].where(y_valid, np.nan)
data_proj[cam].iloc[:, 1::2] = data_proj[cam].iloc[:, 1::2].where(y_valid, np.nan)
# Save as h5 and csv if DeepLabCut format
@ -382,8 +384,9 @@ def reproj_from_trc_calib_func(**args):
data_proj_frame = data_proj[cam].iloc[frame]['DavidPagnon']['person0']
# store 2D keypoints and respect model keypoint order
for (i,b) in zip(bodyparts_ids, bodyparts):
# print(repr(data_proj_frame[b].values))
json_dict_copy['people'][0]['pose_keypoints_2d'][[i*3,i*3+1,i*3+2]] = np.append(data_proj_frame[b].values, 1)
# visibility: 2 visible, 1 occluded, 0 out of frame
coords = data_proj_frame[b].values
json_dict_copy['people'][0]['pose_keypoints_2d'][[i*3,i*3+1,i*3+2]] = np.array([0.0, 0.0, 0]) if np.isnan(coords).any() else np.append(coords, 2)
json_dict_copy['people'][0]['pose_keypoints_2d'] = json_dict_copy['people'][0]['pose_keypoints_2d'].tolist()
# write json file
json_file = os.path.join(cam_dir, f'{filename}_cam_{cam+1:02d}.{frame:05d}.json')