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Find Average Recall and Precision. #473

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Find Average Recall and Precision. #473

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6 changes: 6 additions & 0 deletions eval.py
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Original file line number Diff line number Diff line change
Expand Up @@ -163,6 +163,8 @@ def write_voc_results_file(all_boxes, dataset):
def do_python_eval(output_dir='output', use_07=True):
cachedir = os.path.join(devkit_path, 'annotations_cache')
aps = []
rec = []
prec = []
# The PASCAL VOC metric changed in 2010
use_07_metric = use_07
print('VOC07 metric? ' + ('Yes' if use_07_metric else 'No'))
Expand All @@ -174,10 +176,14 @@ def do_python_eval(output_dir='output', use_07=True):
filename, annopath, imgsetpath.format(set_type), cls, cachedir,
ovthresh=0.5, use_07_metric=use_07_metric)
aps += [ap]
rec += [rec]
prec += [prec]
print('AP for {} = {:.4f}'.format(cls, ap))
with open(os.path.join(output_dir, cls + '_pr.pkl'), 'wb') as f:
pickle.dump({'rec': rec, 'prec': prec, 'ap': ap}, f)
print('Mean AP = {:.4f}'.format(np.mean(aps)))
print('Average Recall = {:.4f}'.format(np.mean(rec)))
print('Average Precision = {:.4f}'.format(np.mean(prec)))`
print('~~~~~~~~')
print('Results:')
for ap in aps:
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