fixing previous codes

Author: codeperfectplus

01. Basic operations/drawingOnImage.py

@@ -16,22 +16,22 @@
                           pt2=(300, 300),
                           color=(0, 255, 255),
                           thickness=2)
-    
-    img = cv2.rectangle(img, 
+
+    img = cv2.rectangle(img,
                         pt1=(250, 0),
                         pt2=(450, 250),
                         color=(0, 255, 0),
                         thickness=2)
 
     img = cv2.circle(img,
-                     center=(100, 100), 
-                     radius=50, 
-                     color=(255, 0, 255), 
+                     center=(100, 100),
+                     radius=50,
+                     color=(255, 0, 255),
                      thickness=-1)
 
     cv2.imshow("output", img)
 else:
     print('file not found.')
-    
+
 cv2.waitKey(0)
 cv2.destroyAllWindows()

01. Basic operations/gettingStarted.py

@@ -1,14 +1,20 @@
+''' Getting started with opencv
+
+Reading and saving image with opencv using waitKey
+'''
 import cv2
 
 #load an color image in grayscale color
 img = cv2.imread('./Media/sample.jpeg',0)
 
 cv2.imshow('image', img)
 k = cv2.waitKey(0) & 0xFF
-# esc key to exit 
+
+# esc key to exit
 if k == 27:
     cv2.destroyAllWindows()
+
 # s key to save and exit
 elif k == ord('s'):
-    cv2.imwrite("./Media/sample2.jpeg", img)    
-    cv2.destroyAllWindows()
+    cv2.imwrite("./Media/sample2.jpeg", img)
+    cv2.destroyAllWindows()

01. Basic operations/gettingStartedWithVideos.py

@@ -1,19 +1,21 @@
-# capture video from camera
-import numpy as np
+''' Getting started with Videos in Opencv'''
 import cv2
 
 cap = cv2.VideoCapture(0)
 
 while True:
     # capture frame by frame
-    ret, frame = cap.read()
-    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+    check, frame = cap.read()
+    if check:
+        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
 
-    # display the result
-    cv2.imshow('frame', gray)
-    if cv2.waitKey(1) & 0xFF == ord('q'):
-        break
+        # display the result
+        cv2.imshow('frame', gray)
+
+        # break the while loop by 'q'
+        if cv2.waitKey(1) & 0xFF == ord('q'):
+            break
 
 #release the cap
 cap.release()
-cv2.destroyAllWindows()
+cv2.destroyAllWindows()

01. Basic operations/mouseEvents.py

@@ -1,4 +1,5 @@
 ''' Mouse Events in OpenCV '''
+
 import cv2
 import numpy as np
 
@@ -16,4 +17,4 @@ def draw_circle(event, x, y, flags, param):
     cv2.imshow('image', img)
     if cv2.waitKey(20) & 0xFF == 27:
         break
-cv2.destroyAllWindows()
+cv2.destroyAllWindows()

01. Basic operations/savingVideosFromCamera.py

@@ -9,13 +9,14 @@
 
 while(cap.isOpened()):
     ret, frame = cap.read()
-    if ret == True:
+    if ret:
         frame = cv2.flip(frame,0)
 
         # write the filpped frame
         out.write(frame)
 
         cv2.imshow('video',frame)
+
         if cv2.waitKey(1) & 0xFF == ord('q'):
             break
     else:
@@ -24,4 +25,4 @@
 # release video capture
 cap.release()
 out.release()
-cv2.destroyAllWindows()
+cv2.destroyAllWindows()

01. Basic operations/usingMatplotlib.py

@@ -1,8 +1,12 @@
 ''' Showing output using matplotlib '''
 
-from matplotlib import pyplot as plt
 import cv2
+from matplotlib import pyplot as plt
 
 img = cv2.imread('./Media/sample.jpeg', 0)
+
 plt.imshow(img, cmap="gray")
-plt.show()
+plt.title('Sample Image')
+plt.xticks([])
+plt.yticks([])
+plt.show()

01. Basic operations/usingSkimage.py

@@ -0,0 +1,12 @@
+import cv2
+from skimage import io
+
+# reading the image
+img = cv2.imread('./Media/sample.jpeg')
+
+# changing image from BGR to RGB for correct output
+img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+
+# showing output
+io.imshow(img)
+io.show()

04. Image Filter/SkImageFilter.py

@@ -0,0 +1,7 @@
+from skimage import data, io, filters
+
+image = data.coins()
+# ... or any other NumPy array!
+edges = filters.sobel(image)
+io.imshow(edges)
+io.show()

09. Template Matching/portMatching.py

@@ -1,7 +1,7 @@
-""" 
-Template Matching is a method for searching and finding the location of a template image in a larger image. 
-OpenCV comes with a function cv2.matchTemplate() for this purpose. It simply slides the template image over the input 
-image (as in 2D convolution) and compares the template and patch of input image under the template image. 
+"""
+Template Matching is a method for searching and finding the location of a template image in a larger image.
+OpenCV comes with a function cv2.matchTemplate() for this purpose. It simply slides the template image over the input
+image (as in 2D convolution) and compares the template and patch of input image under the template image.
 """
 import cv2
 import numpy as np
@@ -28,4 +28,3 @@
 elif k == ord("s"):
     cv2.imwrite('./Media/port-detected.jpeg', source_color)
     cv2.destroyAllWindows()
-

20. Image Segmentation/waterShedAlgorithm.py

@@ -0,0 +1,43 @@
+''' watershed Algorithm in opencv ''' 
+
+import cv2
+import numpy as np
+
+img = cv2.imread('./Media/coins.jpg')
+gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+
+ret, thresh = cv2.threshold(gray_img, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)
+
+# noise removal
+kernel = np.ones((3, 3), np.uint8)
+opening = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel, iterations=2)
+
+#sure background area
+sure_bg = cv2.dilate(opening, kernel)
+
+# finding sure foreground area
+dist_transform = cv2.distanceTransform(opening, cv2.DIST_L2, 5)
+ret, sure_fg = cv2.threshold(dist_transform, 0.7*dist_transform.max(), 255, 0)
+
+# finding unknown region
+
+sure_fg = np.uint8(sure_fg)
+unknown = cv2.subtract(sure_bg, sure_fg)
+
+# makrer labeling
+ret, markers = cv2.connectedComponents(sure_fg)
+
+# add one to all labels so that sure background is not 0, but 1
+markers = markers + 1
+
+# mark the region of unknown with zero
+markers[unknown==255] = 0
+
+markers = cv2.watershed(img, markers)
+img[markers == -1] = [255, 0, 0]
+
+cv2.imshow('output', img)
+
+key = cv2.waitKey(0) & 0xFF
+if key == 27:
+    cv2.destroyAllWindows()

21. Facial Recognition/FaceRec.py

@@ -5,19 +5,21 @@
 
 video_capture = cv2.VideoCapture(0)
 
-
 # Create arrays of known face encodings and their names
 known_face_encodings = []
 known_face_names = []
 
 root_dir = os.path.dirname(os.path.abspath(os.path.abspath(__file__)))
 image_dir = os.path.join(root_dir, "images")
 
+# creating encodings for faces from images folder
 for file in os.listdir(image_dir):
-    if file.endswith == ".jpeg" or ".jpg":
+    if file.endswith == "jpeg" or "jpg":
         input_face_name = file.split('.')[0]
         input_face = face_recognition.load_image_file(os.path.join(image_dir, file))
         input_face_encoding = face_recognition.face_encodings(input_face)[0]
+
+        # appending face_names and face encoding
         known_face_names.append(input_face_name)
         known_face_encodings.append(input_face_encoding)
 

Media/coins.jpg

@@ -10,7 +10,7 @@
   - [Contributing](#contributing)
   - [Authors and acknowledgment](#authors-and-acknowledgment)
   - [License](#license)
-  - [Project status](#project-status)
+  - [Citation](#citation)
   - [Author](#author)
 
 ## Introduction
@@ -93,7 +93,13 @@ Perform basic troubleshooting steps:
 
 For open source projects,Under MIT License.
 
-## Project status
+## Citation
+
+```
+Stéfan van der Walt, Johannes L. Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D. Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu and the scikit-image contributors. scikit-image: Image processing in Python. PeerJ 2:e453 (2014) https://doi.org/10.7717/peerj.453
+
+Coelho, L.P. 2013. Mahotas: Open source software for scriptable computer vision. Journal of Open Research Software 1(1):e3, DOI: http://dx.doi.org/10.5334/jors.ac
+```
 
 ## Author
 

README.md

@@ -1,25 +1,60 @@
+absl-py==0.12.0
+astunparse==1.6.3
+cachetools==4.2.2
 certifi==2020.6.20
 chardet==3.0.4
+click==7.1.2
 cvlib==0.2.5
 cycler==0.10.0
+decorator==4.4.2
+dlib==19.22.0
+face-recognition==1.3.0
+face-recognition-models==0.3.0
+flatbuffers==1.12
+gast==0.3.3
+google-auth==1.30.0
+google-auth-oauthlib==0.4.4
+google-pasta==0.2.0
+grpcio==1.32.0
+h5py==2.10.0
 idna==2.10
 imageio==2.9.0
 imutils==0.5.3
+Keras-Preprocessing==1.1.2
 kiwisolver==1.2.0
+mahotas==1.4.11
+Markdown==3.3.4
 matplotlib==3.3.2
+networkx==2.5.1
 numpy==1.19.2
+oauthlib==3.1.0
 opencv-python==4.5.1.48
+opt-einsum==3.3.0
 Pillow==8.2.0
 progressbar==2.5
+protobuf==3.15.8
+pyasn1==0.4.8
+pyasn1-modules==0.2.8
 pyparsing==2.4.7
 PySide2==5.15.2
+pytesseract==0.3.7
 python-dateutil==2.8.1
+PyWavelets==1.1.1
 requests==2.24.0
+requests-oauthlib==1.3.0
+rsa==4.7.2
+scikit-image==0.18.1
+scipy==1.6.3
 shiboken2==5.15.2
 six==1.15.0
-tensorflow==2.4.1
+tensorboard==2.5.0
+tensorboard-data-server==0.6.0
+tensorboard-plugin-wit==1.8.0
+tensorflow-estimator==2.4.0
+tensorflow-gpu==2.4.1
+termcolor==1.1.0
+tifffile==2021.4.8
+typing-extensions==3.7.4.3
 urllib3==1.25.10
-click==7.1.2
-dlib==19.22.0
-face-recognition==1.3.0
-face-recognition-models==0.3.0
+Werkzeug==1.0.1
+wrapt==1.12.1