Created
December 27, 2020 03:39
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Crop RGBImages from https://sourceforge.net/p/videosubfinder to only include subtitles identified in TXTImages for use with Google Vision API
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| import cv2,os,numpy,math,glob | |
| path = '/some/place/' | |
| frames = [os.path.basename(x) for x in glob.glob(path + 'TXTImages/*.jpeg')] | |
| #add padding around sub | |
| pad = 40 | |
| for frame in frames: | |
| print(frame) | |
| txtpath = path + 'TXTImages/' + frame | |
| croppath = path + 'RGBCropped/' + frame | |
| rgbpath = path + 'RGBImages/' + frame | |
| #load txt image and find bounding box of contents | |
| im = cv2.imread(txtpath) | |
| imgray = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY) | |
| imgray = cv2.blur(imgray,(15,15)) | |
| ret,thresh = cv2.threshold(imgray,math.floor(numpy.average(imgray)),255,cv2.THRESH_BINARY_INV) | |
| dilated=cv2.morphologyEx(thresh, cv2.MORPH_OPEN, cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(10,10))) | |
| contours,_ = cv2.findContours(dilated,cv2.RETR_LIST,cv2.CHAIN_APPROX_SIMPLE) | |
| best_box=[-1,-1,-1,-1] | |
| for c in contours: | |
| x,y,w,h = cv2.boundingRect(c) | |
| if best_box[0] < 0: | |
| best_box=[x,y,x+w,y+h] | |
| else: | |
| if x<best_box[0]: | |
| best_box[0]=x | |
| if y<best_box[1]: | |
| best_box[1]=y | |
| if x+w>best_box[2]: | |
| best_box[2]=x+w | |
| if y+h>best_box[3]: | |
| best_box[3]=y+h | |
| x1,y1,x2,y2 = best_box | |
| #add padding but don't exceed edge of image then crop and save | |
| x1 = max(x1-pad, 0) | |
| y1 = max(y1-pad, 0) | |
| x2 = min(x2+pad, im.shape[1]) | |
| y2 = min(y2+pad, im.shape[0]) | |
| rgb = cv2.imread(rgbpath) | |
| cropped = rgb[y1:y2, x1:x2] | |
| cv2.imwrite(croppath, cropped) |
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