[ext] 修改transmit到一半

main.py

@@ -38,7 +38,7 @@ def main(only_spec=False, only_color=False):
             try:
                 threshold = int(float(data))
                 Config.spec_size_threshold = threshold
-                logging.info(f'[INFO] Get spec threshold: {threshold}')
+                logging.info(f'Get spec threshold: {threshold}')
             except Exception as e:
                 logging.error(f'毁灭性错误:收到长度小于3却无法转化为整数spec_size_threshold的网络报文，报文内容为 {data},'
                               f' 错误为 {e}.')

transmit.py

@@ -3,19 +3,28 @@ import threading
 from multiprocessing import Process, Queue
 import time
 
+import cv2
+
+import utils
 from utils import ImgQueue as ImgQueue
+import functools
 import numpy as np
 from config import Config
 from models import SpecDetector, RgbDetector
-import typing
+from typing import Any
 import logging
 logging.basicConfig(format='%(asctime)s %(levelname)s %(name)s %(message)s',
                     level=logging.WARNING)
 
 
 class Transmitter(object):
-    def __init__(self):
+    def __init__(self, job_name:str, run_process:bool = False):
         self.output = None
+        self.job_name = job_name
+        self.run_process = run_process # If true, run process when started else run thread.
+        self._thread_stop = threading.Event()
+        self._thread_stop.clear()
+        self._running_handler = None
 
     def set_source(self, *args, **kwargs):
         """
@@ -36,20 +45,41 @@ class Transmitter(object):
 
     def start(self, *args, **kwargs):
         """
-        启动接收线程或进程
+        启动线程或进程
         :param args:
         :param kwargs:
         :return:
         """
-        raise NotImplementedError
+        name = kwargs.get('name', default='base thread')
+        if not self.run_process:
+            self._running_handler = threading.Thread(target=self.job_func, name=name, args=args)
+        else:
+            self._running_handler = Process(target=self.job_func, name=name, args=args, daemon=True)
+        self._running_handler.start()
 
     def stop(self, *args, **kwargs):
         """
-        停止接收线程或进程
+        停止线程或进程
         :param args:
         :param kwargs:
         :return:
         """
+        if self._running_handler is not None:
+            self._thread_stop.set()
+            self._running_handler = None
+
+    @staticmethod
+    def job_decorator(func):
+        functools.wraps(func)
+        def wrapper(self, *args, **kwargs):
+            logging.info(f'{self.job_name} {"process" if self.run_process else "thread"} start.')
+            while not self._thread_stop.is_set():
+                self.job_func(*args, **kwargs)
+            logging.info(f'{self.job_name} {"process" if self.run_process else "thread"} stop.')
+            self._need_stop.clear()
+        return wrapper
+
+    def job_func(self, *args, **kwargs):
         raise NotImplementedError
 
 
@@ -84,8 +114,9 @@ class BeforeAfterMethods:
 
 
 class FifoReceiver(Transmitter):
-    def __init__(self, fifo_path: str, output: ImgQueue, read_max_num: int, msg_queue=None):
-        super().__init__()
+    def __init__(self, job_name:str, fifo_path: str, output: ImgQueue,
+                 read_max_num: int, msg_queue=None):
+        super().__init__(job_name=job_name)
         self._input_fifo_path = None
         self._output_queue = None
         self._msg_queue = msg_queue
@@ -93,9 +124,6 @@ class FifoReceiver(Transmitter):
 
         self.set_source(fifo_path)
         self.set_output(output)
-        self._need_stop = threading.Event()
-        self._need_stop.clear()
-        self._running_thread = None
 
     def set_source(self, fifo_path: str):
         if not os.access(fifo_path, os.F_OK):
@@ -105,29 +133,21 @@ class FifoReceiver(Transmitter):
     def set_output(self, output: ImgQueue):
         self._output_queue = output
 
-    def start(self, post_process_func=None, name='fifo_receiver'):
-        self._running_thread = threading.Thread(target=self._receive_thread_func,
-                                                name=name, args=(post_process_func, ))
-        self._running_thread.start()
-
-    def stop(self):
-        self._need_stop.set()
-
-    def _receive_thread_func(self, post_process_func=None):
+    @Transmitter.job_decorator
+    def job_func(self, post_process_func=None):
         """
         接收线程
 
         :param post_process_func:
         :return:
         """
-        while not self._need_stop.is_set():
-            input_fifo = os.open(self._input_fifo_path, os.O_RDONLY)
-            data = os.read(input_fifo, self._max_len)
-            if post_process_func is not None:
-                data = post_process_func(data)
-            self._output_queue.safe_put(data)
-            os.close(input_fifo)
-        self._need_stop.clear()
+        input_fifo = os.open(self._input_fifo_path, os.O_RDONLY)
+        data = os.read(input_fifo, self._max_len)
+        if post_process_func is not None:
+            data = post_process_func(data)
+        self._output_queue.safe_put(data)
+        os.close(input_fifo)
+
 
 
 class FifoSender(Transmitter):
@@ -220,6 +240,7 @@ class CmdImgSplitMidware(Transmitter):
                 # 看是不是命令需要执行如果是命令，就执行
                 Config.rgb_size_threshold = rgb_data
                 Config.spec_size_threshold = spec_data
+                logging.info("获取到指令")
                 continue
             elif isinstance(spec_data, np.ndarray) and isinstance(rgb_data, np.ndarray):
                 # 如果是图片，交给预测的人
@@ -228,6 +249,7 @@ class CmdImgSplitMidware(Transmitter):
                     subscriber.safe_put(item)
             else:
                 # 否则程序出现毁灭性问题，立刻崩
+                logging.critical('两个相机传回的数据没有对上')
                 raise Exception("两个相机传回的数据没有对上")
         self.thread_stop.clear()
 
@@ -316,27 +338,44 @@ class ProcessDetector(Transmitter):
         self._predict_thread.start()
 
     def predict(self, spec: np.ndarray, rgb: np.ndarray):
-        logging.info(f'Detector get image with shape {spec.shape} and {rgb.shape}')
+        logging.debug(f'Detector get image with shape {spec.shape} and {rgb.shape}')
         t1 = time.time()
-        mask = self._spec_detector.predict(spec)
+        mask_spec = self._spec_detector.predict(spec)
         t2 = time.time()
-        logging.info(f'Detector finish spec predict within {(t2 - t1) * 1000:.2f}ms')
+        logging.debug(f'Detector finish spec predict within {(t2 - t1) * 1000:.2f}ms')
         # rgb识别
         mask_rgb = self._rgb_detector.predict(rgb)
         t3 = time.time()
-        logging.info(f'Detector finish rgb predict within {(t3 - t2) * 1000:.2f}ms')
+        logging.debug(f'Detector finish rgb predict within {(t3 - t2) * 1000:.2f}ms')
         # 结果合并
-        mask_result = (mask | mask_rgb).astype(np.uint8)
-        mask_result = mask_result.repeat(Config.blk_size, axis=0).repeat(Config.blk_size, axis=1).astype(np.uint8)
+        # mask_result = (mask | mask_rgb).astype(np.uint8)
+        # mask_result = mask_result.repeat(Config.blk_size, axis=0).repeat(Config.blk_size, axis=1).astype(np.uint8)
+        # 进行多个喷阀的合并
+        masks = [utils.valve_expend(mask) for mask in [mask_spec, mask_rgb]]
+        # 进行喷阀同时开启限制
+        masks = [utils.valve_limit(mask, Config.max_open_valve_limit) for mask in masks]
+        # control the size of the output masks, 在resize前，图像的宽度是和喷阀对应的
+        masks = [cv2.resize(mask.astype(np.uint8), Config.target_size) for mask in masks]
         t4 = time.time()
-        logging.info(f'Detector finish merge within {(t4 - t3) * 1000: .2f}ms')
-        logging.info(f'Detector finish predict within {(time.time() -t1)*1000:.2f}ms')
-        return mask_result
+        logging.debug(f'Detector finish merge within {(t4 - t3) * 1000: .2f}ms')
+        logging.debug(f'Detector finish predict within {(time.time() -t1)*1000:.2f}ms')
+        return masks
 
     def _predict_server(self):
         while not self._thread_exit.is_set():
             if not self._input_queue.empty():
                 spec, rgb = self._input_queue.get()
-                mask = self.predict(spec, rgb)
-                self._output_queue.put(mask)
+                masks = self.predict(spec, rgb)
+                self._output_queue.put(masks[:])
         self._thread_exit.clear()
+
+
+class SplitMidware(Transmitter):
+    def set_source(self, mask_source: ImgQueue):
+
+
+    def start(self, *args, **kwargs):
+        pass
+
+    def stop(self, *args, **kwargs):
+        pass