feat(rapidocr_paddle): support en char rec

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SWHL committed 2024-12-04 08:12:16 +08:00
1 parent f16bd16283
commit c7c8bfb305
3 files changed
+40 -38

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+34 -25
View File
@@ -77,34 +77,26 @@ class CalRecBoxes:
word_box_list = []
word_box_content_list = []
cn_width_list = []
en_width_list = []
cn_col_list = []
for word, word_col, state in zip(word_list, word_col_list, state_list):
if state == "cn":
if len(word_col) != 1:
char_seq_length = (word_col[-1] - word_col[0] + 1) * cell_width
char_width = char_seq_length / (len(word_col) - 1)
cn_width_list.append(char_width)
cn_col_list += word_col
word_box_content_list += word
else:
cell_x_start = bbox_x_start + int(word_col[0] * cell_width)
cell_x_end = bbox_x_start + int((word_col[-1] + 1) * cell_width)
cell = [
[cell_x_start, bbox_y_start],
[cell_x_end, bbox_y_start],
[cell_x_end, bbox_y_end],
[cell_x_start, bbox_y_end],
]
word_box_list.append(cell)
word_box_content_list.append("".join(word))
en_col_list = []
if len(cn_col_list) != 0:
if len(cn_width_list) != 0:
avg_char_width = np.mean(cn_width_list)
def cal_char_width(width_list, word_col_):
if len(word_col_) == 1:
return
char_total_length = (word_col_[-1] - word_col_[0] + 1) * cell_width
char_width = char_total_length / (len(word_col_) - 1)
width_list.append(char_width)
def cal_box(col_list, width_list, word_box_list_):
if len(col_list) == 0:
return
if len(width_list) != 0:
avg_char_width = np.mean(width_list)
else:
avg_char_width = (bbox_x_end - bbox_x_start) / len(rec_txt)
for center_idx in cn_col_list:
for center_idx in col_list:
center_x = (center_idx + 0.5) * cell_width
cell_x_start = max(int(center_x - avg_char_width / 2), 0) + bbox_x_start
cell_x_end = (
@@ -117,7 +109,20 @@ class CalRecBoxes:
[cell_x_end, bbox_y_end],
[cell_x_start, bbox_y_end],
]
word_box_list.append(cell)
word_box_list_.append(cell)
for word, word_col, state in zip(word_list, word_col_list, state_list):
if state == "cn":
cal_char_width(cn_width_list, word_col)
cn_col_list += word_col
word_box_content_list += word
else:
cal_char_width(en_width_list, word_col)
en_col_list += word_col
word_box_content_list += word
cal_box(cn_col_list, cn_width_list, word_box_list)
cal_box(en_col_list, en_width_list, word_box_list)
sorted_word_box_list = sorted(word_box_list, key=lambda box: box[0][0])
return word_box_content_list, sorted_word_box_list
@@ -256,5 +261,9 @@ class CalRecBoxes:
p23[np.where(p23[:, 1] == np.min(p23[:, 1]))],
p23[np.where(p23[:, 1] == np.max(p23[:, 1]))],
)
# 解决单字矩形框重叠导致多个相同框的情况
p1 = p1[:1, :]
p2 = p2[:1, :]
p3 = p3[:1, :]
p4 = p4[:1, :]
return np.array([p1, p2, p3, p4]).reshape((-1, 2)).tolist()
+1 -1
View File
@@ -29,7 +29,7 @@ MODULE_NAME = "rapidocr_paddle"
obtainer = GetPyPiLatestVersion()
try:
latest_version = obtainer(MODULE_NAME)
VERSION_NUM = obtainer.version_add_one(latest_version)
VERSION_NUM = obtainer.version_add_one(latest_version, add_patch=True)
except:
VERSION_NUM = "0.0.1"
+5 -12
View File
@@ -212,18 +212,11 @@ def test_input_three_ndim_one_channel():
),
(
"text_vertical_words.png",
[
"已",
"取",
"之",
"時",
"不",
"參",
"一",
"人",
"见",
"而",
], # rapidocr_onnxruntime: 見, rapidocr_paddle: 见
["已", "取", "之", "時", "不", "參", "一", "人", "见", "而"],
),
(
"issue_170.png",
["T", "E", "S", "T"],
),
],
)