mirror of
https://github.com/NanjingForestryUniversity/supermachine-wood.git
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109 lines
3.7 KiB
Python
109 lines
3.7 KiB
Python
import socket
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import sys
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import numpy as np
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import cv2
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import root_dir
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from classifer import WoodClass
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import time
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import os
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from database import Database
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from root_dir import ROOT_DIR
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from utils import PreSocket, receive_sock, parse_protocol, ack_sock, done_sock, DualSock, simple_sock
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import logging
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from config import Config
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def process_cmd(cmd: str, data: any, connected_sock: socket.socket, detector: WoodClass, settings: Config) -> tuple:
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"""
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处理指令
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:param cmd: 指令类型
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:param data: 指令内容
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:param connected_sock: socket
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:param detector: 模型
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:return: 是否处理成功
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"""
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result = ''
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if cmd == 'IM':
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data = np.clip(data, 0, 255).astype(dtype=np.uint8)
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wood_color = detector.predict(data)
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result = {0: 'dark', 1: 'middle', 2: 'light'}[wood_color]
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response = simple_sock(connected_sock, cmd_type=cmd, result=wood_color)
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elif cmd == 'TR':
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detector = WoodClass(w=4096, h=1200, n=8000, p1=0.8, debug_mode=False)
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model_name = None
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if ":" in data:
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data, model_name = data.split(":", 1)
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model_name = model_name + ".p"
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settings.data_path = data
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settings.model_path = ROOT_DIR / 'models' / detector.fit_pictures(data_path=settings.data_path, file_name=model_name)
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response = simple_sock(connected_sock, cmd_type=cmd)
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elif cmd == 'MD':
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settings.model_path = data
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detector.load(path=settings.model_path)
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response = simple_sock(connected_sock, cmd_type=cmd)
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else:
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logging.error(f'错误指令，指令为{cmd}')
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response = False
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return response, result
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def main(is_debug=False):
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settings = Config()
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file_handler = logging.FileHandler(os.path.join(ROOT_DIR, 'report.log'))
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file_handler.setLevel(logging.DEBUG if is_debug else logging.WARNING)
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console_handler = logging.StreamHandler(sys.stdout)
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console_handler.setLevel(logging.DEBUG if is_debug else logging.WARNING)
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logging.basicConfig(format='%(asctime)s %(filename)s[line:%(lineno)d] - %(levelname)s - %(message)s',
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handlers=[file_handler, console_handler], level=logging.DEBUG)
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dual_sock = DualSock(connect_ip='127.0.0.1')
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database = Database(settings.database_addr)
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while not dual_sock.status:
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dual_sock.reconnect()
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detector = WoodClass(w=4096, h=1200, n=8000, p1=0.8, debug_mode=False)
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detector.load(path=settings.model_path)
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_ = detector.predict(np.random.randint(1, 254, (1200, 4096, 3), dtype=np.uint8))
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while True:
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pack, next_pack = receive_sock(dual_sock)
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if pack == b"":
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time.sleep(5)
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dual_sock.reconnect()
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continue
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cmd, data = parse_protocol(pack)
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# ack_sock(received_sock, cmd_type=cmd)
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response, result = process_cmd(cmd=cmd, data=data, connected_sock=dual_sock, detector=detector, settings=settings)
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# if result != "":
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# database.add_data(result)
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if __name__ == '__main__':
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# 2个端口
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# 接受端口21122
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# 发送端口21123
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# 接收到图片 n_rows * n_bands * n_cols, float32
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# 发送图片 n_rows * n_cols, uint8
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main(is_debug=False)
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# test(r"D:\build-tobacco-Desktop_Qt_5_9_0_MSVC2015_64bit-Release\calibrated15.raw")
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# main()
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# debug_main()
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# test_run(all_data_dir=r'D:\数据')
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# with open(r'D:\数据\虫子\valid2.raw', 'rb') as f:
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# data = np.frombuffer(f.read(), dtype=np.float32).reshape(600, 29, 1024).transpose(0, 2, 1)
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# plt.matshow(data[:, :, 10])
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# plt.show()
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# detector = SpecDetector('model_spec/model_29.p')
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# result = detector.predict(data)
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#
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# plt.matshow(result)
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# plt.show()
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# result = result.reshape((600, 1024))
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