IndexError Traceback (most recent call last)/tmp/ipykernel_15916/4083500270.py in <module> 77 learning_rate=0.001, 78 early_stop=True,---> 79 early_stop_patience=5) 80 /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/models/ppyolo.py in train(self, num_epochs, train_dataset, train_batch_size, eval_dataset, save_interval_epochs, log_interval_steps, save_dir, pretrain_weights, optimizer, learning_rate, warmup_steps, warmup_start_lr, lr_decay_epochs, lr_decay_gamma, metric, use_vdl, sensitivities_file, eval_metric_loss, early_stop, early_stop_patience, resume_checkpoint, use_ema, ema_decay) 364 use_vdl=use_vdl, 365 early_stop=early_stop,--> 366 early_stop_patience=early_stop_patience) 367 368 def evaluate(self,/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/models/base.py in train_loop(self, num_epochs, train_dataset, train_batch_size, eval_dataset, save_interval_epochs, log_interval_steps, save_dir, use_vdl, early_stop, early_stop_patience) 579 batch_size=eval_batch_size, 580 epoch_id=i + 1,--> 581 return_details=True) 582 logging.info('[EVAL] Finished, Epoch={}, {} .'.format( 583 i + 1, dict2str(self.eval_metrics)))/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/models/ppyolo.py in evaluate(self, eval_dataset, batch_size, epoch_id, metric, return_details) 420 eval_dataset.num_samples, total_steps)) 421 for step, data in tqdm.tqdm(--> 422 enumerate(data_generator()), total=total_steps): 423 images = np.array([d[0] for d in data]) 424 im_sizes = np.array([d[1] for d in data])/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tqdm/std.py in __iter__(self) 1180 1181 try:-> 1182 for obj in iterable: 1183 yield obj 1184 # Update and possibly print the progressbar./opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/datasets/dataset.py in queue_reader() 189 batch_data.append(sample) 190 if len(batch_data) == batch_size:--> 191 batch_data = generate_minibatch(batch_data, mapper=mapper) 192 yield batch_data 193 batch_data = []/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/datasets/dataset.py in generate_minibatch(batch_data, label_padding_value, mapper) 203 if mapper is not None and mapper.batch_transforms is not None: 204 for op in mapper.batch_transforms:--> 205 batch_data = op(batch_data) 206 # if batch_size is 1, do not pad the image 207 if len(batch_data) == 1:/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/transforms/det_transforms.py in __call__(self, batch_data) 1618 dtype=np.float32) 1619 for b in range(gt_bbox.shape[0]):-> 1620 gx = gt_bbox[b, 0] / float(origin_w) 1621 gy = gt_bbox[b, 1] / float(origin_h) 1622 gw = gt_bbox[b, 2] / float(origin_w)IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed
