Add project: first

Author: azamtoiri

MachineLearning Projects/Face-detecting/Cascade-Files/face_default.xml

@@ -0,0 +1,13 @@
+# Detecting face from photo or camera
+___
+### Setup
+`pip install -r requirements.txt`
+
+___
+### Usage
+`python3 main.py` detecting face from camera 
+`q` for exit from frame
+
+
+`pyhton3 detect_face_from_image` detecting face from images on
+directory images `q` for exit from frame

MachineLearning Projects/Face-detecting/Cascade-Files/more_bet.xml

@@ -0,0 +1,20 @@
+import cv2
+
+img = cv2.imread('images/im1.jpg')
+img2 = cv2.imread('images/im2.jpg')
+gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+gray2 = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
+
+window_name = 'Image'
+
+faces = cv2.CascadeClassifier('Cascade-Files/more_bet.xml')
+
+results = faces.detectMultiScale(gray, 1.1, 4)
+# results = faces.detectMultiScale(gray2, 1.1, 4)
+
+for (x, y, w, h) in results:
+    cv2.rectangle(img, (x, y), (x + w, y + h), (0, 0, 255), 2)
+    cv2.rectangle(img2, (x, y), (x + w, y + h), (0, 0, 255), 2)
+
+cv2.imshow(window_name, img)
+cv2.waitKey(0)

MachineLearning Projects/Face-detecting/Readme.md

@@ -0,0 +1,39 @@
+# обнаруживает пока что только лицо и пишет на рамочке
+
+import cv2
+
+video = cv2.VideoCapture(0)
+hands_hear_cascade = cv2.CascadeClassifier('Cascade-Files/more_bet.xml')
+
+# Write some Text
+
+font = cv2.FONT_ITALIC
+text = 'Face detected'
+fontScale = 1
+fontColor = (0, 255, 0)
+thickness = 3
+lineType = 1
+
+while True:
+    _r, frame = video.read()
+    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+    hands = hands_hear_cascade.detectMultiScale(gray, 1.1, 3)
+
+    if len(hands):
+        print("Face")
+
+        for x, y, w, h in hands:
+            bottomLeftCornerOfText = (x - 5, y - 5)
+            cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
+            cv2.putText(frame, text,
+                        bottomLeftCornerOfText,
+                        font,
+                        fontScale,
+                        fontColor,
+                        thickness,
+                        lineType)
+    cv2.imshow("test", frame)
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break
+video.release()
+cv2.destroyAllWindows()

MachineLearning Projects/Face-detecting/detect_face_from_image.py

@@ -0,0 +1,2 @@
+numpy==1.23.4
+opencv-python==4.6.0.66