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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, 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. 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 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. 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 # Replace by nan when reprojection out of image
for cam in range(len(P_all_frame)): for cam in range(len(P_all_frame)):
x_above_size = data_proj[cam].iloc[:,::2] < calib_params_size[cam][0] x_valid = 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_valid = data_proj[cam].iloc[:,1::2] < calib_params_size[cam][1]
y_above_size = 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[:, 1::2].where(y_above_size, 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 # 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'] data_proj_frame = data_proj[cam].iloc[frame]['DavidPagnon']['person0']
# store 2D keypoints and respect model keypoint order # store 2D keypoints and respect model keypoint order
for (i,b) in zip(bodyparts_ids, bodyparts): for (i,b) in zip(bodyparts_ids, bodyparts):
# print(repr(data_proj_frame[b].values)) # visibility: 2 visible, 1 occluded, 0 out of frame
json_dict_copy['people'][0]['pose_keypoints_2d'][[i*3,i*3+1,i*3+2]] = np.append(data_proj_frame[b].values, 1) 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() json_dict_copy['people'][0]['pose_keypoints_2d'] = json_dict_copy['people'][0]['pose_keypoints_2d'].tolist()
# write json file # write json file
json_file = os.path.join(cam_dir, f'{filename}_cam_{cam+1:02d}.{frame:05d}.json') json_file = os.path.join(cam_dir, f'{filename}_cam_{cam+1:02d}.{frame:05d}.json')