From 9fda3f7316f104f9288f3c1ee5671667951e7519 Mon Sep 17 00:00:00 2001
From: wangzhibo <wangzhibo@shsening.com>
Date: 星期五, 25 三月 2022 15:49:33 +0800
Subject: [PATCH] 识别宽的情况 人工拆分
---
debug/1_check_video_boundary.py | 7 +++----
1 files changed, 3 insertions(+), 4 deletions(-)
diff --git a/debug/1_check_video_boundary.py b/debug/1_check_video_boundary.py
index 97f0030..b6a1942 100644
--- a/debug/1_check_video_boundary.py
+++ b/debug/1_check_video_boundary.py
@@ -5,7 +5,7 @@
from cv2 import waitKey
import uuid
from _image_clip_setting import image_clip
-
+import sys
def check_frame(frame):
image = frame[image_clip[0]:image_clip[1], image_clip[2]:image_clip[3]]
@@ -13,7 +13,7 @@
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, (5, 5))
+ kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (6, 6))
counter = cv2.morphologyEx(thresh.copy(), cv2.MORPH_OPEN, kernel)
contours, hierarchy = cv2.findContours(counter,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
contours_count = 0
@@ -21,7 +21,6 @@
for c in contours:
x, y, w, h = cv2.boundingRect(c)
if hierarchy[0][contours_count][3] ==0 and h > image_h * 0.3:
- #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)
contours_count += 1
@@ -29,7 +28,7 @@
if cv2.waitKey(100) & 0xFF == ord('q'): #鎸塹閫�鍑�
cv2.waitKey(0)
-cap = cv2.VideoCapture("new.mp4") # for testing
+cap = cv2.VideoCapture(sys.argv[1]) # for testing
while(cap.isOpened()):
ret, frame = cap.read()
if ret==True:
--
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