replace by nan if out of image
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@ -294,8 +294,9 @@ def reproj_from_trc_calib_func(**args):
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# Extract data from calibration file
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P_all = computeP(input_calib_file, undistort=undistort_points)
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calib_params = retrieve_calib_params(input_calib_file)
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calib_params_size = [calib_params['S'][i] for i in range(len(P_all))]
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if undistort_points:
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calib_params = retrieve_calib_params(input_calib_file)
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calib_params_R_filt = [calib_params['R'][i] for i in range(len(P_all))]
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calib_params_T_filt = [calib_params['T'][i] for i in range(len(P_all))]
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calib_params_K_filt = [calib_params['K'][i] for i in range(len(P_all))]
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@ -335,7 +336,15 @@ def reproj_from_trc_calib_func(**args):
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[coords[cam].extend([x_all[cam], y_all[cam]]) for cam in range(len(P_all_frame))]
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for cam in range(len(P_all_frame)):
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data_proj[cam].iloc[frame,:] = coords[cam]
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# Replace by nan when reprojection out of image
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for cam in range(len(P_all_frame)):
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x_above_size = data_proj[cam].iloc[:,::2] < calib_params_size[cam][0]
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data_proj[cam].iloc[:, ::2] = data_proj[cam].iloc[:, ::2].where(x_above_size, np.nan)
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y_above_size = data_proj[cam].iloc[:,1::2] < calib_params_size[cam][1]
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data_proj[cam].iloc[:, 1::2] = data_proj[cam].iloc[:, 1::2].where(y_above_size, np.nan)
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# Save as h5 and csv if DeepLabCut format
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if deeplabcut_output:
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# to h5
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