本案例将演示通过在 PC 端上运行脚本程序,通过 StackFlow 的 API 接口获取摄像头数据和显示。
apt install llm-camera
下载客户端测试脚本,确保 PC 与 LLM630 Compute Kit 处于同一网段下。PC 端需准备 Python 环境并通过 Pip 包管理器安装 opencv-python
依赖包。
pip install opencv-python
pip install opencv-python -i https://mirrors.aliyun.com/pypi/simple # For Chinese users
复制并保存下方脚本,并运行时候传入设备实际的 IP 地址参数。
python llm-camera.py --host 192.168.20.24
import socket
import json
import argparse
import base64
import numpy as np
import cv2
import time
def create_tcp_connection(host, port):
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.connect((host, port))
return sock
def send_json(sock, data):
json_data = json.dumps(data, ensure_ascii=False) + '\n'
sock.sendall(json_data.encode('utf-8'))
recv_buffer = ""
def receive_response(sock):
global recv_buffer
while '\n' not in recv_buffer:
part = sock.recv(4096).decode('utf-8')
if not part:
break
recv_buffer += part
if '\n' in recv_buffer:
line, recv_buffer = recv_buffer.split('\n', 1)
return line.strip()
else:
line, recv_buffer = recv_buffer, ""
return line.strip()
def close_connection(sock):
if sock:
sock.close()
def create_init_data(response_format, deivce, enoutput, frame_height, frame_width, enable_webstream, rtsp):
return {
"request_id": "camera_001",
"work_id": "camera",
"action": "setup",
"object": "camera.setup",
"data": {
"response_format": "image.yuvraw.base64" if response_format =="yuv" else "image.jpeg.base64",
"input": deivce,
"enoutput": enoutput,
"frame_width": frame_width,
"frame_height": frame_height,
"enable_webstream": enable_webstream,
"VinParam.bAiispEnable": 0,
"rtsp": "rtsp.1280x720.h265" if rtsp == "h265" else "rtsp.1280x720.h264",
}
}
def parse_setup_response(response_data, sent_request_id):
error = response_data.get('error')
request_id = response_data.get('request_id')
if request_id != sent_request_id:
print(f"Request ID mismatch: sent {sent_request_id}, received {request_id}")
return None
if error and error.get('code') != 0:
print(f"Error Code: {error['code']}, Message: {error['message']}")
return None
return response_data.get('work_id')
def reset(sock):
sent_request_id = 'reset_000'
reset_data = {
"request_id": sent_request_id,
"work_id": "sys",
"action": "reset"
}
ping_data = {
"request_id": "ping_000",
"work_id": "sys",
"action": "ping"
}
send_json(sock, reset_data)
while True:
try:
send_json(sock, ping_data)
time.sleep(1)
except (BrokenPipeError, ConnectionResetError, OSError) as e:
return
def setup(sock, init_data):
sent_request_id = init_data['request_id']
send_json(sock, init_data)
response = receive_response(sock)
response_data = json.loads(response)
return parse_setup_response(response_data, sent_request_id)
def exit_session(sock, deinit_data):
send_json(sock, deinit_data)
print("Exit")
def parse_inference_response(response_data):
error = response_data.get('error')
if error and error.get('code') != 0:
print(f"Error Code: {error['code']}, Message: {error['message']}")
return None
return response_data.get('data')
def main(args):
sock = create_tcp_connection(args.host, args.port)
frame_width, frame_height = args.imgsz
try:
print("Reset...")
reset(sock)
close_connection(sock)
sock = create_tcp_connection(args.host, args.port)
print("Setup Camera...")
init_data = create_init_data(
response_format = args.format,
enoutput=args.enoutput,
deivce=args.device,
frame_height=frame_height,
frame_width=frame_width,
enable_webstream=args.webstream,
rtsp=args.rtsp
)
camera_work_id = setup(sock, init_data)
print("Setup Camera finished.")
while True:
response = receive_response(sock)
if not response:
continue
response_data = json.loads(response)
data = parse_inference_response(response_data)
if data is None:
break
decoded = base64.b64decode(data)
if args.format == "yuv":
yuv_frame = np.frombuffer(decoded, dtype=np.uint8).reshape((frame_height, frame_width, 2))
bgr_frame = cv2.cvtColor(yuv_frame, cv2.COLOR_YUV2BGR_YUY2)
else:
jpg_array = np.frombuffer(decoded, dtype=np.uint8)
bgr_frame = cv2.imdecode(jpg_array, cv2.IMREAD_COLOR)
cv2.imshow("Camera Frame", bgr_frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
exit_session(sock, {
"request_id": "camera_exit",
"work_id": camera_work_id,
"action": "exit"
})
time.sleep(3) # Allow time for the exit command to be processed
finally:
close_connection(sock)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="TCP Client to send JSON data.")
parser.add_argument("--host", type=str, default="localhost", help="Server hostname (default: localhost)")
parser.add_argument("--port", type=int, default=10001, help="Server port (default: 10001)")
parser.add_argument("--device", type=str, default="axera_single_sc850sl", help="Camera name, i.e. axera_single_sc850sl or /dev/video0")
parser.add_argument("--enoutput", type=bool, default=True, help="Whether to output image data")
parser.add_argument("--format", "--output-format", type=str, default="jpeg", help="Output image data format, i.e. jpeg or yuv")
parser.add_argument("--imgsz", "--img", "--img-size", nargs="+", type=int, default=[320, 320], help="image (h, w)")
parser.add_argument("--webstream", action="store_true", help="Enable webstream")
parser.add_argument("--rtsp", default="h264", help="rtsp output, i.e. h264 or h265")
args = parser.parse_args()
main(args)
电脑屏幕将显示摄像头画面,如下图所示。按下键盘按键 “q” 可退出。