Skip to content

Commit

Permalink
쓸데없는 부분 지우기
Browse files Browse the repository at this point in the history
  • Loading branch information
bamcasa committed Nov 5, 2020
1 parent 4125736 commit 6c47921
Showing 1 changed file with 177 additions and 0 deletions.
177 changes: 177 additions & 0 deletions clear.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,177 @@
#!/usr/bin/env python
# coding: utf-8

# In[1]:


import cv2
import numpy as np
import matplotlib.pyplot as plt
import os

plt.style.use('dark_background')



# # Read Input Image

# In[3]:


path, dirs, files = next(os.walk("test1"))
print(f"{path}안에 {len(files)}개의 파일이 있음")

for file in files:
img_ori = cv2.imread(f'test1/{file}')

height, width, channel = img_ori.shape

# plt.figure(figsize=(12, 10))
# cv2.imshow("img_ori",img_ori)
# cv2.waitKey(0)
# cv2.destroyAllWindows()

# # Convert Image to Grayscale

# In[4]:

# hsv = cv2.cvtColor(img_ori, cv2.COLOR_BGR2HSV)
# gray = hsv[:,:,2]
gray = cv2.cvtColor(img_ori, cv2.COLOR_BGR2GRAY)

# cv2.imshow("gray",gray)
# cv2.waitKey(0)
# cv2.destroyAllWindows()

# # Maximize Contrast (Optional)

# In[5]:

structuringElement = cv2.getStructuringElement(cv2.MORPH_RECT, (3, 3))

imgTopHat = cv2.morphologyEx(gray, cv2.MORPH_TOPHAT, structuringElement)
imgBlackHat = cv2.morphologyEx(gray, cv2.MORPH_BLACKHAT, structuringElement)

imgGrayscalePlusTopHat = cv2.add(gray, imgTopHat)
gray = cv2.subtract(imgGrayscalePlusTopHat, imgBlackHat)

# cv2.imshow("gray",gray)
# cv2.waitKey(0)
# cv2.destroyAllWindows()

# # Adaptive Thresholding

# In[6]:

img_blurred = cv2.GaussianBlur(gray, ksize=(5, 5), sigmaX=0)

img_thresh = cv2.adaptiveThreshold(
img_blurred,
maxValue=255.0,
adaptiveMethod=cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
thresholdType=cv2.THRESH_BINARY_INV,
blockSize=19,
C=9
)

# cv2.imshow("gray",gray)
# cv2.waitKey(0)
# cv2.destroyAllWindows()

# # Find Contours

# In[ ]:

contours, _ = cv2.findContours(
img_thresh,
cv2.RETR_LIST,
method=cv2.CHAIN_APPROX_SIMPLE
)

temp_result = np.zeros((height, width, channel), dtype=np.uint8)

cv2.drawContours(temp_result, contours=contours, contourIdx=-1, color=(255, 255, 255))

# cv2.imshow("temp_result",temp_result)
# cv2.waitKey(0)
# cv2.destroyAllWindows()

# # Prepare Data

# In[10]:

temp_result = np.zeros((height, width, channel), dtype=np.uint8)

contours_dict = []

for contour in contours:
x, y, w, h = cv2.boundingRect(contour)
cv2.rectangle(temp_result, pt1=(x, y), pt2=(x + w, y + h), color=(255, 255, 255), thickness=2)

# insert to dict
contours_dict.append({
'contour': contour,
'x': x,
'y': y,
'w': w,
'h': h,
'cx': x + (w / 2),
'cy': y + (h / 2),
'area': w * h
})

# cv2.imshow("temp_result",temp_result)
# cv2.waitKey(0)
# cv2.destroyAllWindows()

MIN_AREA = 10
MIN_WIDTH, MIN_HEIGHT = 4, 4
MIN_RATIO, MAX_RATIO = 0.3, 5.0
# 수치 조정 해야함 <------------------------------------------------------------------------------------------------------------

possible_contours = []
max_contours = 0

cnt = 0
for d in contours_dict:
area = d['w'] * d['h']
ratio = d['w'] / d['h']

if area > MIN_AREA and d['w'] > MIN_WIDTH and d['h'] > MIN_HEIGHT and MIN_RATIO < ratio < MAX_RATIO:
d['idx'] = cnt
cnt += 1
possible_contours.append(d)
if d['area'] >= max_contours:
max_contours = d['area']
print(len(possible_contours))
print(max_contours)
# visualize possible contours
dst = []

for d in possible_contours:
#cv2.drawContours(temp_result, d['contour'], -1, (255, 255, 255))
if d['h'] >= 40 and d['w'] >= 40:
dst.append(img_ori[d['y']:d['y'] + d['h'], d['x']:d['x'] + d['w']])

number = 1
for img in dst:
cv2.imwrite(f"crop_image/{number}_{file}", img)
print(f"crop_image/{number}_{file}")
number += 1

for d in possible_contours:
cv2.drawContours(temp_result, d['contour'], -1, (255, 255, 255))
#cv2.rectangle(img_ori, pt1=(d['x'], d['y']), pt2=(d['x'] + d['w'], d['y'] + d['h']), color=(211, 200, 86),
# thickness=2)
for d in possible_contours:
if d['area'] != max_contours:
cv2.rectangle(img_ori, pt1=(d['x'], d['y']), pt2=(d['x'] + d['w'], d['y'] + d['h']), color=(255, 255, 255),
thickness=-1)


cv2.imshow("img_ori", img_ori)
cv2.waitKey(0)
cv2.destroyAllWindows()



0 comments on commit 6c47921

Please sign in to comment.