算法交互添加4090TRT模型，集成钓鱼游泳模型、违法种植模型

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concurrency/IntelligentRecognitionProcess.py

 
 def process(frame):
     try:
-        p_result, timeOut = frame[1].process(copy.deepcopy(frame[0].get("frame")), int(frame[0].get("width") / 2))
+        width = int(frame[0].get("width"))
+        if width > 1600:
+            width = width // 2
+        p_result, timeOut = frame[1].process(copy.deepcopy(frame[0].get("frame")), width)
         if frame[2]["video"]["video_add_water"]:
             frame[0]["frame"] = frame[3].common_water_1(frame[0].get("frame"), frame[3].logo)
             p_result[1] = frame[3].common_water_1(p_result[1], frame[3].logo)
     logger.info("######################开始加载模型######################")
     model_config = {
         # 加载河道模型
-        ModelType.WATER_SURFACE_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.SZModel(x, y, z, r), ModelType.WATER_SURFACE_MODEL.value[1]),
+        ModelType.WATER_SURFACE_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.Model(x, y, z, r, ModelType.WATER_SURFACE_MODEL), ModelType.WATER_SURFACE_MODEL.value[1]),
         # 加载林场模型
-        ModelType.FOREST_FARM_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.LCModel(x, y, z, r), ModelType.FOREST_FARM_MODEL.value[1]),
+        ModelType.FOREST_FARM_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.Model(x, y, z, r, ModelType.FOREST_FARM_MODEL), ModelType.FOREST_FARM_MODEL.value[1]),
         # 加载交通模型
-        ModelType.TRAFFIC_FARM_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.RFModel(x, y, z, r), ModelType.TRAFFIC_FARM_MODEL.value[1]),
+        ModelType.TRAFFIC_FARM_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.Model(x, y, z, r, ModelType.TRAFFIC_FARM_MODEL), ModelType.TRAFFIC_FARM_MODEL.value[1]),
         # 加载防疫模型
-        ModelType.EPIDEMIC_PREVENTION_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.IMModel(x, y, z, r), ModelType.EPIDEMIC_PREVENTION_MODEL.value[1]),
+        ModelType.EPIDEMIC_PREVENTION_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.IMModel(x, y, z, r, ModelType.EPIDEMIC_PREVENTION_MODEL), ModelType.EPIDEMIC_PREVENTION_MODEL.value[1]),
         # 加载车牌模型
-        ModelType.PLATE_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.PlateMModel(x, y, z, r), ModelType.PLATE_MODEL.value[1]),
+        ModelType.PLATE_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.IMModel(x, y, z, r, ModelType.PLATE_MODEL), ModelType.PLATE_MODEL.value[1]),
         # 加载车辆模型
-        ModelType.Vehicle_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.VehicleModel(x, y, z, r), ModelType.Vehicle_MODEL.value[1]),
+        ModelType.VEHICLE_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.Model(x, y, z, r, ModelType.VEHICLE_MODEL), ModelType.VEHICLE_MODEL.value[1]),
         # 加载行人模型
-        ModelType.Pedestrian_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.PedestrianModel(x, y, z, r), ModelType.Pedestrian_MODEL.value[1]),
+        ModelType.PEDESTRIAN_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.Model(x, y, z, r, ModelType.PEDESTRIAN_MODEL), ModelType.PEDESTRIAN_MODEL.value[1]),
         # 加载烟火模型
-        ModelType.Smogfire_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.SmogfireModel(x, y, z, r), ModelType.Smogfire_MODEL.value[1])
+        ModelType.SMOGFIRE_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.Model(x, y, z, r, ModelType.SMOGFIRE_MODEL), ModelType.SMOGFIRE_MODEL.value[1]),
+        # 加载钓鱼游泳模型
+        ModelType.ANGLERSWIMMER_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.Model(x, y, z, r, ModelType.ANGLERSWIMMER_MODEL), ModelType.ANGLERSWIMMER_MODEL.value[1]),
+        # 加载乡村模型
+        ModelType.COUNTRYROAD_MODEL.value[1]: (lambda x, y, z, r: ModelUtils.Model(x, y, z, r, ModelType.COUNTRYROAD_MODEL), ModelType.COUNTRYROAD_MODEL.value[1])
     }
     for model in args[1]:
         try:

enums/ModelTypeEnum.py

 @unique
 class ModelType(Enum):
 
-    WATER_SURFACE_MODEL = ("1", "001", "河道模型")
+    WATER_SURFACE_MODEL = ("1", "001", "河道模型", 'river')
 
-    FOREST_FARM_MODEL = ("2", "002", "森林模型")
+    FOREST_FARM_MODEL = ("2", "002", "森林模型", 'forest')
 
-    TRAFFIC_FARM_MODEL = ("3", "003", "交通模型")
+    TRAFFIC_FARM_MODEL = ("3", "003", "交通模型", 'road')
 
-    EPIDEMIC_PREVENTION_MODEL = ("4", "004", "防疫模型")
+    EPIDEMIC_PREVENTION_MODEL = ("4", "004", "防疫模型", None)
 
-    PLATE_MODEL = ("5", "005", "车牌模型")
+    PLATE_MODEL = ("5", "005", "车牌模型", None)
 
-    Vehicle_MODEL = ("6", "006", "车辆模型")
+    VEHICLE_MODEL = ("6", "006", "车辆模型", 'vehicle')
 
-    Pedestrian_MODEL = ("7", "007", "行人模型")
+    PEDESTRIAN_MODEL = ("7", "007", "行人模型", 'pedestrian')
 
-    Smogfire_MODEL = ("8", "008", "烟火模型")
+    SMOGFIRE_MODEL = ("8", "008", "烟火模型", 'smogfire')
+
+    ANGLERSWIMMER_MODEL = ("9", "009", "钓鱼游泳模型", 'AnglerSwimmer')
+
+    COUNTRYROAD_MODEL = ("10", "010", "乡村模型", 'countryRoad')
 
     def checkCode(code):
         for model in ModelType:

test/str/test.py

 #     else:
 #         a = '%s,%s' % (a, str(i))
 # print(a)
-a=[1,2,3,4,5,8, 9]
-b=[1,3,2]
-if set(a) >= set(b):
-    print("a")
+# a=[1,2,3,4,5,8, 9]
+# b=[1,3,2]
+# if set(a) >= set(b):
+#     print("a")
+# else:
+#     print("b")
+from enums.ModelTypeEnum import ModelType
+
+if ModelType.WATER_SURFACE_MODEL == ModelType.FOREST_FARM_MODEL:
+    print("aaaaa")
 else:
-    print("b")
+    print("bbbbbbbbbb")
+
+if isinstance(ModelType.WATER_SURFACE_MODEL, ModelType):
+    print("aaaaa")
+else:
+    print("bbbbbbbbbb")
+
+if type(ModelType.WATER_SURFACE_MODEL)==ModelType.FOREST_FARM_MODEL:
+    print("aaaaa")
+else:
+    print("bbbbbbbbbb")

test/水印/余弦相似度计算.py

 
 if __name__ == '__main__':
     # 把图片表示成一个向量，通过计算向量之间的余弦距离来表征两张图片的相似度 0.9760
-    image1 = cv2.imread('image/1.jpg')
-    image2 = cv2.imread('image/1.jpg')
+    image1 = cv2.imread('../image/1.jpg')
+    image2 = cv2.imread('../image/2.jpg')
     # image3 = cv2.imread('image/AI2.jpg')
     # image4 = cv2.imread('image/AI3.jpg')
     # image5 = cv2.imread('image/AI4.jpg')
     dist = Hamming_distance(hash1, hash2)
     #将距离转化为相似度
     similarity = 1 - dist * 1.0 / 64
-    print(dist)
+    # print(dist)
     print(similarity, time.time() - start)
     # cosin = image_similarity_vectors_via_numpy(image1, image2)
     # print('图片余弦相似度', cosin)

util/Cv2Utils.py

             self.fps = fps
             self.width = width
             self.height = height
-            self.wh = int(width * height * 3 // 8)
-            self.wah = '%sx%s' % (int(self.width / 2), int(self.height / 2))
-            self.h = int(self.height * 3 // 4)
-            self.w = int(self.width // 2)
-            self.hn = int(self.height // 2)
-            self.wn = int(self.width // 2)
-            w_f = self.wh != width * height * 3 / 8
-            h_f = self.h != self.height * 3 / 4
-            wd_f = self.w != self.width / 2
-            if w_f or h_f or wd_f:
-                self.resize_status = True
+            if width > 1600:
+                self.wh = int(width * height * 3 // 8)
+                self.wah = '%sx%s' % (int(self.width / 2), int(self.height / 2))
+                self.h = int(self.height * 3 // 4)
+                self.w = int(self.width // 2)
+                self.hn = int(self.height // 2)
+                self.wn = int(self.width // 2)
+                w_f = self.wh != width * height * 3 / 8
+                h_f = self.h != self.height * 3 / 4
+                wd_f = self.w != self.width / 2
+                if w_f or h_f or wd_f:
+                    self.resize_status = True
+                    self.wh = int(width * height * 3 // 2)
+                    self.wah = '%sx%s' % (int(self.width), int(self.height))
+                    self.h = int(self.height * 3 // 2)
+                    self.w = int(self.width)
+            else:
                 self.wh = int(width * height * 3 // 2)
                 self.wah = '%sx%s' % (int(self.width), int(self.height))
                 self.h = int(self.height * 3 // 2)
                 self.w = int(self.width)
+                self.hn = int(self.height)
+                self.wn = int(self.width)
 
     '''
         获取视频信息
             fps = video_stream.get('r_frame_rate')
             # duration = video_stream.get('duration')
             bit_rate = video_stream.get('bit_rate')
-            if width:
-                self.width = int(width)
-            if height:
-                self.height = int(height)
+            self.width = int(width)
+            self.height = int(height)
             if width is not None and height is not None:
-                self.wh = int(width * height * 3 // 8)
-                self.wah = '%sx%s' % (int(self.width / 2), int(self.height / 2))
-                self.h = int(self.height * 3 // 4)
-                self.w = int(self.width / 2)
-                self.hn = int(self.height / 2)
-                self.wn = int(self.width // 2)
-                w_f = self.wh != width * height * 3 / 8
-                h_f = self.h != self.height * 3 / 4
-                wd_f = self.w != self.width / 2
-                if w_f or h_f or wd_f:
-                    self.resize_status = True
+                if width > 1600:
+                    self.wh = int(width * height * 3 // 8)
+                    self.wah = '%sx%s' % (int(self.width / 2), int(self.height / 2))
+                    self.h = int(self.height * 3 // 4)
+                    self.w = int(self.width / 2)
+                    self.hn = int(self.height / 2)
+                    self.wn = int(self.width // 2)
+                    w_f = self.wh != width * height * 3 / 8
+                    h_f = self.h != self.height * 3 / 4
+                    wd_f = self.w != self.width / 2
+                    if w_f or h_f or wd_f:
+                        self.resize_status = True
+                        self.wh = int(width * height * 3 // 2)
+                        self.wah = '%sx%s' % (int(self.width), int(self.height))
+                        self.h = int(self.height * 3 // 2)
+                        self.w = int(self.width)
+                else:
                     self.wh = int(width * height * 3 // 2)
                     self.wah = '%sx%s' % (int(self.width), int(self.height))
                     self.h = int(self.height * 3 // 2)
                     self.w = int(self.width)
+                    self.hn = int(self.height)
+                    self.wn = int(self.width)
             if nb_frames:
                 self.all_frames = int(nb_frames)
             if fps:
                                            ExceptionType.VIDEO_RESOLUTION_EXCEPTION.value[1])
                 result = cv2.cvtColor(img, cv2.COLOR_YUV2BGR_NV12)
                 if self.resize_status:
-                    result = cv2.resize(result, (int(self.width / 2), int(self.height / 2)),
-                                        interpolation=cv2.INTER_LINEAR)
+                    if self.width > 1600:
+                        result = cv2.resize(result, (int(self.width / 2), int(self.height / 2)),
+                                            interpolation=cv2.INTER_LINEAR)
         except ServiceException as s:
             raise s
         except Exception as e:
                 logger.error("推流地址不能为空, requestId:{}", self.requestId)
                 raise ServiceException(ExceptionType.PUSH_STREAM_URL_EXCEPTION.value[0],
                                        ExceptionType.PUSH_STREAM_URL_EXCEPTION.value[1])
+            width = int(self.width)
+            if width <= 1600:
+                width = 2 * int(self.width)
             command = ['ffmpeg',
                        # '-loglevel', 'debug',
                        '-y',
                        '-pix_fmt', 'bgr24',
                        '-thread_queue_size', '1024',
                        # '-s', "{}x{}".format(self.width * 2, self.height),
-                       '-s', "{}x{}".format(int(self.width), int(self.hn)),
+                       '-s', "{}x{}".format(width, int(self.hn)),
                        '-r', str(self.fps),
                        '-i', '-',  # 指定输入文件
                        '-g', str(self.fps),
-                       # '-maxrate', '15000k',
+                       '-maxrate', '8000k',
                        # '-profile:v', 'high',
-                       # '-b:v', '4000k',
+                       '-b:v', '5000k',
                        # '-crf', '18',
-                       '-rc:v', 'vbr',
-                       '-cq:v', '30',
-                       '-qmin', '30',
-                       '-qmax', '30',
+                       # '-rc:v', 'vbr',
+                       # '-cq:v', '25',
+                       # '-qmin', '25',
+                       # '-qmax', '25',
                        '-c:v', 'h264_nvenc',  #
-                       # '-bufsize', '4000k',
+                       '-bufsize', '5000k',
                        # '-c:v', 'libx264',  # 指定视频编码器
                        # '-tune', 'zerolatency',  # 加速编码速度
                        # '-sc_threshold', '0',
                        '-pix_fmt', 'yuv420p',
                        "-an",
                        # '-flvflags', 'no_duration_filesize',
-                       '-preset', 'fast',  # 指定输出的视频质量，会影响文件的生成速度，有以下几个可用的值 ultrafast,
-                       # superfast, veryfast, faster, fast, medium, slow, slower, veryslow。
+                       # '-preset', 'fast',  # 指定输出的视频质量，会影响文件的生成速度，有以下几个可用的值 ultrafast,
+                       '-preset', 'p6',  # 指定输出的视频质量，会影响文件的生成速度，有以下几个可用的值 ultrafast,
+                       '-tune', 'll',
                        '-f', 'flv',
                        self.pushUrl]
             # command = 'ffmpeg -loglevel debug -y -f rawvideo -vcodec rawvideo -pix_fmt bgr24' +\