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Fixed UnboundLocalError for empty preds_str in recognizer_predict #1416

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Fixed UnboundLocalError for empty preds_str in recognizer_predict #1416

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9 changes: 8 additions & 1 deletion easyocr/recognition.py
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Original file line number Diff line number Diff line change
Expand Up @@ -100,6 +100,9 @@ def recognizer_predict(model, converter, test_loader, batch_max_length,\
ignore_idx, char_group_idx, decoder = 'greedy', beamWidth= 5, device = 'cpu'):
model.eval()
result = []
preds_str = []
preds_max_prob = []

with torch.no_grad():
for image_tensors in test_loader:
batch_size = image_tensors.size(0)
Expand Down Expand Up @@ -144,6 +147,7 @@ def recognizer_predict(model, converter, test_loader, batch_max_length,\
else:
preds_max_prob.append(np.array([0]))


for pred, pred_max_prob in zip(preds_str, preds_max_prob):
confidence_score = custom_mean(pred_max_prob)
result.append([pred, confidence_score])
Expand Down Expand Up @@ -217,8 +221,11 @@ def get_text(character, imgH, imgW, recognizer, converter, image_list,\
num_workers=int(workers), collate_fn=AlignCollate_contrast, pin_memory=True)
result2 = recognizer_predict(recognizer, converter, test_loader, batch_max_length,\
ignore_idx, char_group_idx, decoder, beamWidth, device = device)

recognizer.eval()
result = []

if not test_loader:
return result
for i, zipped in enumerate(zip(coord, result1)):
box, pred1 = zipped
if i in low_confident_idx:
Expand Down