From 7f3430f95dda8bc60e00b07e22c0de6cd9fba760 Mon Sep 17 00:00:00 2001
From: wangzhibo <wangzhibo@shsening.com>
Date: 星期一, 14 三月 2022 15:25:46 +0800
Subject: [PATCH] change countours method

---
 debug/2_check_frame_digits.py |   18 ++++++++----------
 1 files changed, 8 insertions(+), 10 deletions(-)

diff --git a/debug/2_check_frame_digits.py b/debug/2_check_frame_digits.py
index 15c1956..762e625 100644
--- a/debug/2_check_frame_digits.py
+++ b/debug/2_check_frame_digits.py
@@ -5,6 +5,7 @@
 import getopt
 import sys
 import numpy as np
+from _image_clip_setting import image_clip
 
 
 def task_init_load_digits():
@@ -62,23 +63,20 @@
 
 
 def check_frame(frame):
-    #image = frame[176:234, 280:426]
-    image = frame[170:240,250:370]  #frame[176:234,280:426]
-    cv2.rectangle(image, (250, 170), (370, 240), (0, 255, 0), 2)
-    cv2.imshow('rect',image)
-    waitKey(0)
+    image = frame[image_clip[0]:image_clip[1], image_clip[2]:image_clip[3]]
     gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
     thresh = cv2.threshold(gray, 0, 255,
                            cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)[1]
     kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (6, 6))
     counter = cv2.morphologyEx(thresh.copy(), cv2.MORPH_OPEN, kernel)
     image_h = image.shape[0]
-    contours, hierarchy = cv2.findContours(
-        counter, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE)
+    contours, hierarchy = cv2.findContours(counter,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
+    contours_count = 0
     return_numbers = []
     for c in contours:
         x, y, w, h = cv2.boundingRect(c)
-        if image_h*0.98 > h > image_h * 0.3:
+        if hierarchy[0][contours_count][3] ==0 :
+        #if image_h*0.98 > h > image_h * 0.6:
             print((x, y, w, h))
             cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
             one_number = get_most_simmilar_digit(cv2.threshold(cv2.resize(
@@ -87,6 +85,7 @@
                 return_numbers.append([x, one_number])
             else:
                 return return_numbers, False
+        contours_count += 1     
     return_numbers = np.array(sorted(return_numbers))
     return return_numbers[:, -1], True
 
@@ -111,5 +110,4 @@
     print(digit)
     cv2.putText(image, str(digit), (280, 170), cv2.FONT_HERSHEY_COMPLEX, 1.0, (100, 200, 200), 5)
     cv2.imshow('add_text',image)
-    waitKey(0)
-
+    waitKey(0)
\ No newline at end of file

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