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PaddleOCR
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WenmuZhou 2020-11-13 17:01:41 +08:00
parent d1affce65a
commit d4facfe4e5
1 changed files with 0 additions and 22 deletions
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ppocr/postprocess/rec_postprocess.py
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@ -102,7 +102,6 @@ class CTCLabelDecode(BaseRecLabelDecode):
def __call__(self, preds, label=None, *args, **kwargs): def __call__(self, preds, label=None, *args, **kwargs):
if isinstance(preds, paddle.Tensor): if isinstance(preds, paddle.Tensor):
preds = preds.numpy() preds = preds.numpy()
# out = self.decode_preds(preds)
preds_idx = preds.argmax(axis=2) preds_idx = preds.argmax(axis=2)
preds_prob = preds.max(axis=2) preds_prob = preds.max(axis=2)
@ -116,27 +115,6 @@ class CTCLabelDecode(BaseRecLabelDecode):
dict_character = ['blank'] + dict_character dict_character = ['blank'] + dict_character
return dict_character return dict_character
def decode_preds(self, preds):
probs_ind = np.argmax(preds, axis=2)
B, N, _ = preds.shape
l = np.ones(B).astype(np.int64) * N
length = paddle.to_tensor(l)
out = paddle.fluid.layers.ctc_greedy_decoder(preds, 0, length)
batch_res = [
x[:idx[0]] for x, idx in zip(out[0].numpy(), out[1].numpy())
]
result_list = []
for sample_idx, ind, prob in zip(batch_res, probs_ind, preds):
char_list = [self.character[idx] for idx in sample_idx]
valid_ind = np.where(ind != 0)[0]
if len(valid_ind) == 0:
continue
conf_list = prob[valid_ind, ind[valid_ind]]
result_list.append((''.join(char_list), conf_list))
return result_list
class AttnLabelDecode(BaseRecLabelDecode): class AttnLabelDecode(BaseRecLabelDecode):
""" Convert between text-label and text-index """ """ Convert between text-label and text-index """