11_8.py

!rm -r ball/*
ball_df = pd.DataFrame(columns=['frame','x','y','w','h'])

for idx in range(len(frames)):
    
    img= cv2.imread('frames/' + frames[idx])
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    gray = cv2.GaussianBlur(gray,(25, 25),0)
    _ , mask = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)
    image, contours, _ = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    
    !rm -r patch/*

    num=20
    cnt=0
    df = pd.DataFrame(columns=['frame','x','y','w','h'])
    for i in range(len(contours)):
        x,y,w,h = cv2.boundingRect(contours[i])

        numer=min([w,h])
        denom=max([w,h])
        ratio=numer/denom

        if(x>=num and y>=num):
            xmin, ymin= x-num, y-num
            xmax, ymax= x+w+num, y+h+num
        else:
            xmin, ymin= x,y
            xmax, ymax= x+w, y+h

        if(ratio>=0.5):    
            #print(cnt,x,y,w,h,ratio)
            df.loc[cnt,'frame'] = frames[idx]
            df.loc[cnt,'x']=x
            df.loc[cnt,'y']=y
            df.loc[cnt,'w']=w
            df.loc[cnt,'h']=h
            
            cv2.imwrite("patch/"+str(cnt)+".png",img[ymin:ymax,xmin:xmax])
            cnt=cnt+1
    
    
    files=os.listdir('patch/')    
    if(len(files)>0):
    
        files.sort(key=lambda f: int(re.sub('\D', '', f)))

        test=[]
        for file in files:
            img=cv2.imread('patch/'+file,0)
            img=cv2.resize(img,(25,25))
            test.append(img)

        test = np.array(test)

        test = test.reshape(len(test),-1)
        y_pred = rfc.predict(test)
        prob=rfc.predict_proba(test)

        if 0 in y_pred:
            ind = np.where(y_pred==0)[0]
            proba = prob[:,0]
            confidence = proba[ind]
            confidence = [i for i in confidence if i>0.7]
            if(len(confidence)>0):

                maximum = max(confidence)
                ball_file=files[list(proba).index(maximum)]

                img= cv2.imread('patch/'+ball_file)
                cv2.imwrite('ball/'+str(frames[idx]),img)

                no = int(ball_file.split(".")[0])
                ball_df.loc[idx]= df.loc[no]
            else:
                ball_df.loc[idx,'frame']=frames[idx]

        else:
            ball_df.loc[idx,'frame']=frames[idx]

!rm -r patch/* what is the meaning of this expression