opencv-dat

• camera-sdk-dat

demo code

# run this on Linux PC with opencv-python module

import cv2

dropped = 0 # drop frames count

# 192.168.4.44 - AIT esp32s
# Change this to your board IP
# http-based streaming not RTSP
vid = cv2.VideoCapture('http://192.168.4.97/ait/Hi-AIT-123') # open webcam capture

while True:
    ret, frame = vid.read() # get frame-by-frame
    #print(vid.isOpened(), ret)
    if frame is not None:
        if dropped > 0: dropped = 0 # reset
        cv2.imshow('Video-44',frame) # display frame
        if cv2.waitKey(22) & 0xFF == ord('q'): # press q to quit
            break
    else:
        dropped += 1
        if dropped > 100:
        print("Server is down")
        break

# Done, clear all resources
vid.release()
cv2.destroyAllWindows()
print("Video stop")

face detection

import cv2

dropped = 0 # drop frames count
from cvzone import FaceDetectionModule

face = FaceDetectionModule.FaceDetector()

# Change this to your board IP
# url = 'http://192.168.4.74/free/Hi-Nove-La'a # freenove
# url = 'http://192.168.4.70/xiao/Hi-Xiao-Ling' # xio
# url = 'http://192.168.4.71/lily/Hi-Lily-Goen' # lilygo
url = 'http://192.168.4.97/ait/Hi-AIT-123' # esp32 AiThinker

vid = cv2.VideoCapture(url) # open webcam capture, http-based streaming. Not RTSP

while True:
    ret, frame = vid.read() # get frame-by-frame
    #print(vid.isOpened(), ret)
    if frame is not None:
        if dropped > 0: dropped = 0 # reset
        frame, faces = face.findFaces(frame)
        # if faces:
        #    do other face processing
        cv2.imshow('Faces',frame) # display frame
        if cv2.waitKey(22) & 0xFF == ord('q'): # press q to quit
            break
    else:
        dropped += 1
        if dropped > 100:
        print("Server is down")
        break

# Done, clear all resources
vid.release()
cv2.destroyAllWindows()
print("Video stop")

hands detection

# run this on Linux PC with opencv-python module

import cv2
from cvzone.HandTrackingModule import HandDetector


# Hands = HandDetector(staticMode=False, maxHands=2, modelComplexity=1, detectionCon=0.5, minTrackCon=0.5)
Hands = HandDetector(detectionCon=0.5) 
# if not detected try move your hands away from the camera

# Change this to your board IP
# Try first with web-browser, you will see image stream if OK
# http-based image streaming server

# url = 'http://192.168.4.74/free/Hi-Nove-La' # freenove
# url = 'http://192.168.4.70/xiao/Hi-Xiao-Ling' # xio
# url = 'http://192.168.4.71/lily/Hi-Lily-Goen' # lilygo
url = 'http://192.168.4.97/ait/Hi-AIT-123' # esp32 AiThinker

vid = cv2.VideoCapture(url) # open webcam capture

dropped = 0 # drop frames count
while True:
    ret, frame = vid.read() # get frame-by-frame
    if frame is not None:
    if dropped > 0: dropped = 0 # reset
    hands, frame = Hands.findHands(frame, draw=True, flipType=True)
    # Check if any hands are detected
    if hands:
        # Information for the first hand detected
        hand1 = hands[0]  # Get the first hand detected
        # lmList1 = hand1["lmList"]  # List of 21 landmarks for the first hand
        bbox1 = hand1["bbox"]  # Bounding box around the first hand 
                                # (x,y,w,h coordinates)
        center1 = hand1['center']  # Center coordinates of the first hand
        handType1 = hand1["type"]  # Type of the first hand ("Left" or "Right")

        # Count the number of fingers up for the first hand
        # fingers1 = Hands.fingersUp(hand1)
        # print(f'H1 = {fingers1.count(1)}', end=" ") 

        # Calculate distance between specific landmarks on the first hand 
        # and draw it on the image
        # length, info, frame = Hands.findDistance(lmList1[8][0:2], lmList1[12][0:2], frame, color=(255, 0, 255), scale=10)

        # Check if a second hand is detected
        if len(hands) == 2:
            # Information for the second hand
            hand2 = hands[1]
            # lmList2 = hand2["lmList"]
            bbox2 = hand2["bbox"]
            center2 = hand2['center']
            handType2 = hand2["type"]

            # Count the number of fingers up for the second hand
            # fingers2 = Hands.fingersUp(hand2)
            # print(f'H2 = {fingers2.count(1)}', end=" ")

            # Calculate distance between the index fingers of both hands 
            # and draw it on the image
            # length, info, frame = Hands.findDistance(lmList1[8][0:2], lmList2[8][0:2], frame, color=(255, 0, 0), scale=10)

        # print(" ")  # New line for better readability of the printed output
    # show image
    cv2.imshow('Hands',frame) # display frame
    # define abort key
    if cv2.waitKey(22) & 0xFF == ord('q'): # press q to quit
        break
    else:
        dropped += 1
        if dropped > 100:
        print("Server is down")
        break

# Done, clear all resources
vid.release()
cv2.destroyAllWindows()
print("Video stop")