remove no-calib argument
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3cbc818059
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@ -109,7 +109,7 @@ class PreprocessKitti:
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dds.append(dd)
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self.dic_names[basename + '.png']['boxes'].append(box)
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self.dic_names[basename + '.png']['dds'].append(dd)
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self.dic_names[basename + '.png']['K'].append(kk.tolist())
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self.dic_names[basename + '.png']['K'] = kk.tolist()
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self.cnt_gt += 1
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# Find the annotations if exists
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@ -131,7 +131,7 @@ class PreprocessKitti:
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self.dic_jo[phase]['kps'].append(uv_kps[ii])
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self.dic_jo[phase]['X'].append(inputs[ii])
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self.dic_jo[phase]['Y'].append([dds[idx_max]]) # Trick to make it (nn,1)
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self.dic_jo[phase]['K'].append(kk.tolist())
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self.dic_jo[phase]['K'] = kk.tolist()
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self.dic_jo[phase]['names'].append(name) # One image name for each annotation
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self.append_cluster(self.dic_jo, phase, inputs[ii], dds[idx_max], uv_kps[ii])
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self.dic_cnt[phase] += 1
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@ -59,12 +59,10 @@ def cli():
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predict_parser.add_argument('--model', help='path of MonoLoco model to load',
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default="data/models/best_model__seed_2_.pickle")
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predict_parser.add_argument('--path_gt', help='path of json file with gt 3d localization',
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default='data/arrays/names-kitti-190513-1428.json')
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predict_parser.add_argument('--dir_calib', default='data/kitti/calib/', help='directory of calib_files')
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default='data/arrays/names-kitti-190513-1754.json')
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predict_parser.add_argument('--transform', help='transformation for the pose', default='None')
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predict_parser.add_argument('--draw_kps', help='to draw kps in the images', action='store_true')
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predict_parser.add_argument('--predict', help='whether to make prediction', action='store_true')
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predict_parser.add_argument('--no_calib', help='use standard intrinsic matrix', action='store_true')
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predict_parser.add_argument('--z_max', type=int, help='', default=22)
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predict_parser.add_argument('--y_scale', type=float, help='', default=1)
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predict_parser.add_argument('--n_dropout', type=int, help='Epistemic uncertainty evaluation', default=0)
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@ -33,11 +33,6 @@ class PredictMonoLoco:
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print("Monoloco: ground truth file not found")
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print('-' * 120)
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# Check for calibration file
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if not args.no_calib:
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self.path_calib = os.path.join(args.dir_calib, basename + '.txt')
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assert os.path.isfile(self.path_calib), "Calibration file not found. Change dir or use --no_calib"
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self.boxes = boxes
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self.keypoints = keypoints
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self.image_path = image_path
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@ -45,7 +40,6 @@ class PredictMonoLoco:
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self.device = args.device
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self.draw_kps = args.draw_kps
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self.y_scale = args.y_scale # y_scale = 1.85 for kitti combined
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self.no_calib = args.no_calib
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self.z_max = args.z_max
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self.output_types = args.output_types
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self.show = args.show
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@ -94,17 +88,14 @@ class PredictMonoLoco:
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cnt = 0
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if self.no_calib:
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# Extract calibration matrix if ground-truth file is present or use a default one
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name = os.path.basename(self.image_path)
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if self.dic_names:
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kk = self.dic_names[name]['K']
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else:
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# kk = [[1266.4, 0., 816.27], [0, 1266.4, 491.5], [0., 0., 1.]]
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kk = [[718.3351, 0., 600.3891], [0., 718.3351, 181.5122], [0., 0., 1.]]
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else:
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kk, tt = self.get_calibration(self.path_calib)
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# kk = self.get_simplified_calibration(self.path_calib)
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# kk = [[1266.4, 0., 816.27], [0, 1266.4, 491.5], [0., 0., 1.]]
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# self.factor = 1
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# self.y_scale = 1
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(inputs_norm, xy_kps), (uv_kps, uv_boxes, uv_centers, uv_shoulders) = \
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self.get_input_data(self.boxes, self.keypoints, kk, left_to_right=True)
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@ -140,7 +131,6 @@ class PredictMonoLoco:
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# Print image and save json
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dic_out = defaultdict(list)
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name = os.path.basename(self.image_path)
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if self.dic_names:
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boxes_gt, dds_gt = self.dic_names[name]['boxes'], self.dic_names[name]['dds']
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