add focal length argument (#6)
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@ -17,7 +17,6 @@ z_min = 4
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z_max = 60
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D_MIN = BF / z_max
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D_MAX = BF / z_min
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FL = 5.7 # nuScenes focal length (mm)
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Sx = 7.2 # nuScenes sensor size (mm)
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Sy = 5.4 # nuScenes sensor size (mm)
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@ -67,7 +66,7 @@ def preprocess_monoloco(keypoints, kk, zero_center=False):
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return kps_out
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def factory_for_gt(im_size, name=None, path_gt=None, verbose=True):
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def factory_for_gt(im_size, focal_length=5.7, name=None, path_gt=None, verbose=True):
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"""Look for ground-truth annotations file and define calibration matrix based on image size """
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try:
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@ -91,8 +90,8 @@ def factory_for_gt(im_size, name=None, path_gt=None, verbose=True):
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kk = [[718.3351, 0., 600.3891], [0., 718.3351, 181.5122], [0., 0., 1.]] # Kitti calibration
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else: # nuScenes camera parameters
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kk = [
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[im_size[0]*FL/Sx, 0., im_size[0]/2],
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[0., im_size[1]*FL/Sy, im_size[1]/2],
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[im_size[0]*focal_length/Sx, 0., im_size[0]/2],
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[0., im_size[1]*focal_length/Sy, im_size[1]/2],
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[0., 0., 1.]]
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if verbose:
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logger.info("Using a standard calibration matrix...")
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@ -130,7 +130,7 @@ def predict(args):
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im_name = os.path.basename(meta['file_name'])
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im_size = (cpu_image.size[0], cpu_image.size[1]) # Original
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kk, dic_gt = factory_for_gt(im_size, name=im_name, path_gt=args.path_gt)
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kk, dic_gt = factory_for_gt(im_size, focal_length=args.focal, name=im_name, path_gt=args.path_gt)
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# Preprocess pifpaf outputs and run monoloco
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boxes, keypoints = preprocess_pifpaf(pifpaf_outs['left'], im_size, enlarge_boxes=False)
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@ -39,6 +39,9 @@ def cli():
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predict_parser.add_argument('--dpi', help='image resolution', type=int, default=150)
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predict_parser.add_argument('--long-edge', default=None, type=int,
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help='rescale the long side of the image (aspect ratio maintained)')
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predict_parser.add_argument('--focal',
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help='focal length in mm for a sensor size of 7.2x5.4 mm. Default nuScenes sensor',
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type=float, default=5.7)
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# Pifpaf parsers
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decoder.cli(predict_parser)
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