提交 90260649 编写于 作者: W WenmuZhou

add predict_cls to predict_system

上级 1c43e8bb
......@@ -23,17 +23,21 @@ import numpy as np
import time
from PIL import Image
import tools.infer.utility as utility
from tools.infer.utility import draw_ocr
import tools.infer.predict_rec as predict_rec
import tools.infer.predict_det as predict_det
import tools.infer.predict_cls as predict_cls
from ppocr.utils.utility import get_image_file_list, check_and_read_gif
from ppocr.utils.logging import get_logger
from tools.infer.utility import draw_ocr_box_txt
class TextSystem(object):
def __init__(self, args):
self.text_detector = predict_det.TextDetector(args)
self.text_recognizer = predict_rec.TextRecognizer(args)
self.use_angle_cls = args.use_angle_cls
if self.use_angle_cls:
self.text_classifier = predict_cls.TextClassifier(args)
def get_rotate_crop_image(self, img, points):
'''
......@@ -88,6 +92,15 @@ class TextSystem(object):
tmp_box = copy.deepcopy(dt_boxes[bno])
img_crop = self.get_rotate_crop_image(ori_im, tmp_box)
img_crop_list.append(img_crop)
cv2.imwrite(
'/home/zhoujun20/dygraph/PaddleOCR_rc/inference_results/{}.jpg'.
format(bno), img_crop)
if self.use_angle_cls:
img_crop_list, angle_list, elapse = self.text_classifier(
img_crop_list)
print("cls num : {}, elapse : {}".format(
len(img_crop_list), elapse))
rec_res, elapse = self.text_recognizer(img_crop_list)
print("rec_res num : {}, elapse : {}".format(len(rec_res), elapse))
# self.print_draw_crop_rec_res(img_crop_list, rec_res)
......@@ -119,7 +132,7 @@ def main(args):
image_file_list = get_image_file_list(args.image_dir)
text_sys = TextSystem(args)
is_visualize = True
tackle_img_num = 0
font_path = args.vis_font_path
for image_file in image_file_list:
img, flag = check_and_read_gif(image_file)
if not flag:
......@@ -128,9 +141,6 @@ def main(args):
logger.info("error in loading image:{}".format(image_file))
continue
starttime = time.time()
tackle_img_num += 1
if not args.use_gpu and args.enable_mkldnn and tackle_img_num % 30 == 0:
text_sys = TextSystem(args)
dt_boxes, rec_res = text_sys(img)
elapse = time.time() - starttime
print("Predict time of %s: %.3fs" % (image_file, elapse))
......@@ -149,8 +159,13 @@ def main(args):
txts = [rec_res[i][0] for i in range(len(rec_res))]
scores = [rec_res[i][1] for i in range(len(rec_res))]
draw_img = draw_ocr(
image, boxes, txts, scores, drop_score=drop_score)
draw_img = draw_ocr_box_txt(
image,
boxes,
txts,
scores,
drop_score=drop_score,
font_path=font_path)
draw_img_save = "./inference_results/"
if not os.path.exists(draw_img_save):
os.makedirs(draw_img_save)
......
......@@ -202,7 +202,12 @@ def draw_ocr(image,
return image
def draw_ocr_box_txt(image, boxes, txts):
def draw_ocr_box_txt(image,
boxes,
txts,
scores=None,
drop_score=0.5,
font_path="./doc/simfang.ttf"):
h, w = image.height, image.width
img_left = image.copy()
img_right = Image.new('RGB', (w, h), (255, 255, 255))
......@@ -212,7 +217,9 @@ def draw_ocr_box_txt(image, boxes, txts):
random.seed(0)
draw_left = ImageDraw.Draw(img_left)
draw_right = ImageDraw.Draw(img_right)
for (box, txt) in zip(boxes, txts):
for idx, (box, txt) in enumerate(zip(boxes, txts)):
if scores is not None and scores[idx] < drop_score:
continue
color = (random.randint(0, 255), random.randint(0, 255),
random.randint(0, 255))
draw_left.polygon(box, fill=color)
......@@ -228,8 +235,7 @@ def draw_ocr_box_txt(image, boxes, txts):
1])**2)
if box_height > 2 * box_width:
font_size = max(int(box_width * 0.9), 10)
font = ImageFont.truetype(
"./doc/simfang.ttf", font_size, encoding="utf-8")
font = ImageFont.truetype(font_path, font_size, encoding="utf-8")
cur_y = box[0][1]
for c in txt:
char_size = font.getsize(c)
......@@ -238,8 +244,7 @@ def draw_ocr_box_txt(image, boxes, txts):
cur_y += char_size[1]
else:
font_size = max(int(box_height * 0.8), 10)
font = ImageFont.truetype(
"./doc/simfang.ttf", font_size, encoding="utf-8")
font = ImageFont.truetype(font_path, font_size, encoding="utf-8")
draw_right.text(
[box[0][0], box[0][1]], txt, fill=(0, 0, 0), font=font)
img_left = Image.blend(image, img_left, 0.5)
......
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