AssertionError

[automatewithme]

I am trying to evaluate my prediction file and mAP_evaluation.py is giving following error: Starting mAP computation /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:312: RuntimeWarning: invalid value encountered in true_divide recalls = tp / float(num_gts) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in greater_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in less_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) Process Process-10: Traceback (most recent call last): File "/usr/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap self.run() File "/usr/lib/python3.6/multiprocessing/process.py", line 93, in run self._target(*self._args, **self._kwargs) File "mAP_evaluation.py", line 44, in save_AP AP = get_average_precisions(gt, predictions, class_names, iou_threshold) File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 369, in get_average_precisions gt_by_class_name[class_name], pred_by_class_name[class_name], iou_threshold File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 314, in recall_precision assert np.all(0 <= recalls) & np.all(recalls <= 1) AssertionError /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:312: RuntimeWarning: invalid value encountered in true_divide recalls = tp / float(num_gts) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in greater_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in less_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) Process Process-6: Traceback (most recent call last): File "/usr/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap self.run() File "/usr/lib/python3.6/multiprocessing/process.py", line 93, in run self._target(*self._args, **self._kwargs) File "mAP_evaluation.py", line 44, in save_AP AP = get_average_precisions(gt, predictions, class_names, iou_threshold) File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 369, in get_average_precisions gt_by_class_name[class_name], pred_by_class_name[class_name], iou_threshold File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 314, in recall_precision assert np.all(0 <= recalls) & np.all(recalls <= 1) AssertionError /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:312: RuntimeWarning: invalid value encountered in true_divide recalls = tp / float(num_gts) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in greater_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in less_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) Process Process-9: Traceback (most recent call last): File "/usr/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap self.run() File "/usr/lib/python3.6/multiprocessing/process.py", line 93, in run self._target(*self._args, **self._kwargs) File "mAP_evaluation.py", line 44, in save_AP AP = get_average_precisions(gt, predictions, class_names, iou_threshold) File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 369, in get_average_precisions gt_by_class_name[class_name], pred_by_class_name[class_name], iou_threshold File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 314, in recall_precision assert np.all(0 <= recalls) & np.all(recalls <= 1) AssertionError /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:312: RuntimeWarning: invalid value encountered in true_divide recalls = tp / float(num_gts) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in greater_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in less_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) Process Process-3: Traceback (most recent call last): File "/usr/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap self.run() File "/usr/lib/python3.6/multiprocessing/process.py", line 93, in run self._target(*self._args, **self._kwargs) File "mAP_evaluation.py", line 44, in save_AP AP = get_average_precisions(gt, predictions, class_names, iou_threshold) File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 369, in get_average_precisions gt_by_class_name[class_name], pred_by_class_name[class_name], iou_threshold File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 314, in recall_precision assert np.all(0 <= recalls) & np.all(recalls <= 1) AssertionError /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:312: RuntimeWarning: invalid value encountered in true_divide recalls = tp / float(num_gts) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in greater_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in less_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) Process Process-4: Traceback (most recent call last): File "/usr/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap self.run() File "/usr/lib/python3.6/multiprocessing/process.py", line 93, in run self._target(*self._args, **self._kwargs) File "mAP_evaluation.py", line 44, in save_AP AP = get_average_precisions(gt, predictions, class_names, iou_threshold) File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 369, in get_average_precisions gt_by_class_name[class_name], pred_by_class_name[class_name], iou_threshold File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 314, in recall_precision assert np.all(0 <= recalls) & np.all(recalls <= 1) AssertionError /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:312: RuntimeWarning: invalid value encountered in true_divide recalls = tp / float(num_gts) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in greater_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in less_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) Process Process-5: Traceback (most recent call last): File "/usr/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap self.run() File "/usr/lib/python3.6/multiprocessing/process.py", line 93, in run self._target(*self._args, **self._kwargs) File "mAP_evaluation.py", line 44, in save_AP AP = get_average_precisions(gt, predictions, class_names, iou_threshold) File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 369, in get_average_precisions gt_by_class_name[class_name], pred_by_class_name[class_name], iou_threshold File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 314, in recall_precision assert np.all(0 <= recalls) & np.all(recalls <= 1) AssertionError /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:312: RuntimeWarning: invalid value encountered in true_divide recalls = tp / float(num_gts) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in greater_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in less_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) Process Process-1: Traceback (most recent call last): File "/usr/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap self.run() File "/usr/lib/python3.6/multiprocessing/process.py", line 93, in run self._target(*self._args, **self._kwargs) File "mAP_evaluation.py", line 44, in save_AP AP = get_average_precisions(gt, predictions, class_names, iou_threshold) File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 369, in get_average_precisions gt_by_class_name[class_name], pred_by_class_name[class_name], iou_threshold File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 314, in recall_precision assert np.all(0 <= recalls) & np.all(recalls <= 1) AssertionError /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:312: RuntimeWarning: invalid value encountered in true_divide recalls = tp / float(num_gts) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in greater_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in less_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) Process Process-7: Traceback (most recent call last): File "/usr/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap self.run() File "/usr/lib/python3.6/multiprocessing/process.py", line 93, in run self._target(*self._args, **self._kwargs) File "mAP_evaluation.py", line 44, in save_AP AP = get_average_precisions(gt, predictions, class_names, iou_threshold) File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 369, in get_average_precisions gt_by_class_name[class_name], pred_by_class_name[class_name], iou_threshold File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 314, in recall_precision assert np.all(0 <= recalls) & np.all(recalls <= 1) AssertionError /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:312: RuntimeWarning: invalid value encountered in true_divide recalls = tp / float(num_gts) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in greater_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in less_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) Process Process-8: Traceback (most recent call last): File "/usr/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap self.run() File "/usr/lib/python3.6/multiprocessing/process.py", line 93, in run self._target(*self._args, **self._kwargs) File "mAP_evaluation.py", line 44, in save_AP AP = get_average_precisions(gt, predictions, class_names, iou_threshold) File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 369, in get_average_precisions gt_by_class_name[class_name], pred_by_class_name[class_name], iou_threshold File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 314, in recall_precision assert np.all(0 <= recalls) & np.all(recalls <= 1) AssertionError /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:312: RuntimeWarning: invalid value encountered in true_divide recalls = tp / float(num_gts) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in greater_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) /usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py:314: RuntimeWarning: invalid value encountered in less_equal assert np.all(0 <= recalls) & np.all(recalls <= 1) Process Process-2: Traceback (most recent call last): File "/usr/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap self.run() File "/usr/lib/python3.6/multiprocessing/process.py", line 93, in run self._target(*self._args, **self._kwargs) File "mAP_evaluation.py", line 44, in save_AP AP = get_average_precisions(gt, predictions, class_names, iou_threshold) File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 369, in get_average_precisions gt_by_class_name[class_name], pred_by_class_name[class_name], iou_threshold File "/usr/local/lib/python3.6/dist-packages/lyft_dataset_sdk/eval/detection/mAP_evaluation.py", line 314, in recall_precision assert np.all(0 <= recalls) & np.all(recalls <= 1) AssertionError Traceback (most recent call last): File "mAP_evaluation.py", line 126, in fire.Fire(main) File "/usr/local/lib/python3.6/dist-packages/fire/core.py", line 138, in Fire component_trace = _Fire(component, args, parsed_flag_args, context, name) File "/usr/local/lib/python3.6/dist-packages/fire/core.py", line 471, in _Fire target=component.name) File "/usr/local/lib/python3.6/dist-packages/fire/core.py", line 675, in _CallAndUpdateTrace component = fn(*varargs, **kwargs) File "mAP_evaluation.py", line 115, in main metric, overall_AP = get_metric_overall_AP(iou_th_range, output_dir, class_names) File "mAP_evaluation.py", line 66, in get_metric_overall_AP with open(str(summary_path), 'r') as f: FileNotFoundError: [Errno 2] No such file or directory: 'tmp/metric_summary_0.5.json' I could not able to figure out why it it happening? can you help me out?

[pyaf]

Probably, your ground truth or predicted json file formats are not as expected.

[DaHaiHuha]

I have this Error too

[pyaf]

So, it's because some of the classes in your ground truth file don't have any boxes. (Probably because of a bad validation set)

On Sun 3 Nov, 2019, 5:15 PM ChengDahai, [email protected] wrote:

I have this Error too

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