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李晨
2022-11-23 15:27:45 +08:00
parent f7a2c7f252
commit a1b5bbcf51
1 changed files with 13 additions and 12 deletions
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25
RAFT/analysis_video.py
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@ -43,7 +43,7 @@ def analysis_video(model, video_path, result_path, uuid_barcode, maskpath=None,
search_r = ManagingFeature().getfeature(barcode)
#print('search_r>>>>>>>>', len(search_r))
ori_mask = cv2.imread(maskpath, 0)
nn, nu = 0, 1
nn, nu, result = 0, 1, None
Result = '03'
img_dic = {}
ex_ocrList, resultList = [],[]
@ -87,16 +87,17 @@ def analysis_video(model, video_path, result_path, uuid_barcode, maskpath=None,
flow_low, flow_up = model(image1, image2, iters=2, test_mode=True)
flo = viz(image1, flow_up)
result = get_target(result_path, flo, imfile1, nu, ori_mask, uuid_barcode, MASKIMG)
result,coordination = get_target(result_path, flo, imfile1, nu, ori_mask, uuid_barcode, MASKIMG)
imfile1 = imfile2
flag, nu, Result = detect(match, affd, net, result, transform, ms, search_r, nn, nu, Result)
if flag: break
Addimg_content(uuid_barcode, frame_show)#图片上传
#if not Result=='03':
if result is not None:
cv2.imwrite(os.sep.join([cfg.Ocrimg, uuid_barcode+'_'+str(nu)+'.jpg']), result) #give ocr img
coordinate = str(coordination[0])+'_'+str(coordination[1])+'_'+str(coordination[2])+'_'+str(coordination[3])
cv2.imwrite(os.sep.join([cfg.Ocrimg, uuid_barcode+'_'+str(nu)+'_'+coordinate+'.jpg']), frame_show) #give ocr img
else:
cv2.imwrite(os.sep.join([cfg.Ocrimg, uuid_barcode+'_'+str(nu)+'.jpg']), frame_show) #give ocr img
cv2.imwrite(os.sep.join([cfg.Ocrimg, uuid_barcode+'_'+str(nu)+'_0_0_0_0'+'.jpg']), frame_show) #give ocr img
return Result
def detect(match, affd, net, result, transform, ms, search_r, nn, nu, Result):
@ -141,28 +142,28 @@ def get_target(path, img, ori_img, nu, ori_mask, uuid_barcode, MASKIMG):
else:
contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
if len(contours)>100:
return None
return None, '_'
for contour in contours:
mask_area_now = cv2.contourArea(contour)
if mask_area_now > mask_max_area:
mask_max_area = mask_area_now
mask_max_contour = contour
if mask_max_area == 0 :return None #mask_max_area 目标位的面积
if mask_max_area == 0 :return None, '_' #mask_max_area 目标位的面积
(x, y, w, h) = cv2.boundingRect(mask_max_contour)
if (w*h)/(img.shape[0]*img.shape[1])>0.80:
return None
return None, '_'
if min(w,h) <100 or max(w,h)>1000:
return None
return None, '_'
coordination = [x, y, x + w, y + h]
mask_image = cv2.fillPoly(mask_image, [mask_max_contour], (255))
if pre_area==0:
pre_area = mask_max_area
return None
return None, '_'
else:
if abs(mask_max_area-pre_area)/pre_area > 0.4:
pre_area = mask_max_area
#print('abs:',abs(mask_max_area-pre_area)/pre_area)
return None
return None, '_'
else:
pre_area = mask_max_area
A,B,C = mask_image, mask_image, mask_image
@ -170,13 +171,13 @@ def get_target(path, img, ori_img, nu, ori_mask, uuid_barcode, MASKIMG):
#该方法去除框外干扰
if not get_iou_ratio(mask_image, MASKIMG):
return None
return None, '_'
show = cv2.bitwise_and(ori_img, mask_image)
#show = show[coordination[1]:coordination[3], coordination[0]:coordination[2]]
show = ori_img[coordination[1]:coordination[3], coordination[0]:coordination[2]]
#cv2.imwrite(os.sep.join([cfg.Ocrimg, str(nu-1)+'_'+uuid_barcode+'.jpg']), show)
return show
return show, coordination
def get_iou_ratio(oimg, MASKIMG):
mimg = cv2.imread(MASKIMG)