models wget updated

config/config.yaml

@@ -1,6 +1,10 @@
 mqtt:
   enabled: false  # Set this to True if using MQTT for event triggers
 
+# detectors:
+#   cpu:
+#     type: cpu  # Using CPU for detection (best for testing)
+
 detectors:
   memryx:
     type: memryx
@@ -10,36 +14,29 @@ detectors:
 #   model_type: yolov9
 #   width: 640
 #   height: 640
-#   path: /config/model_cache/memryx_cache/YOLO_v9_small_640_640_3_onnx.dfp
-#   labelmap_path: /config/model_cache/memryx_cache/labelmap.txt
-
-# model:
-#   model_type: yolov8
-#   width: 640
-#   height: 640
-#   path: /config/model_cache/memryx_cache/YOLO_v8_small_640_640_3_onnx.dfp
-#   labelmap_path: /config/model_cache/memryx_cache/labelmap.txt
+#   path: /memryx_models/yolov9/YOLO_v9_small_640_640_3_onnx.dfp
+#   labelmap_path: /memryx_models/yolov9/labelmap.txt
 
 # model:
 #   model_type: yolonas
 #   width: 320
 #   height: 320
-#   path: /config/model_cache/memryx_cache/yolo_nas_s.dfp
-#   labelmap_path: /config/model_cache/memryx_cache/labelmap.txt
-
-model:
-  model_type: yolox
-  width: 640
-  height: 640
-  path: /config/model_cache/memryx_cache/YOLOX_640_640_3_onnx.dfp
-  labelmap_path: /config/model_cache/memryx_cache/labelmap.txt
+#   path: /memryx_models/yolo_nas/yolo_nas_s.dfp
+#   labelmap_path: /memryx_models/yolo_nas/labelmap.txt
 
 # model:
-#   model_type: ssd
-#   width: 320
-#   height: 320
-#   path: /config/model_cache/memryx_cache/SSDlite_MobileNet_v2_320_320_3_onnx.dfp
-#   labelmap_path: /config/model_cache/memryx_cache/labelmap.txt
+#   model_type: yolox
+#   width: 640
+#   height: 640
+#   path: /memryx_models/yolox/YOLOX_640_640_3_onnx.dfp
+#   labelmap_path: /memryx_models/yolox/labelmap.txt
+
+model:
+  model_type: ssd
+  width: 320
+  height: 320
+  path: /memryx_models/ssdlite/SSDlite_MobileNet_v2_320_320_3_onnx.dfp
+  labelmap_path: /memryx_models/ssdlite/labelmap.txt
 
 cameras:
   Cam1:

config/model_cache/memryx_cache/labelmap.txt

@@ -1,80 +0,0 @@
-0 person
-1 bicycle
-2 car
-3 motorcycle
-4 airplane
-5 bus
-6 train
-7 truck
-8 boat
-9 traffic light
-10 fire hydrant
-11 stop sign
-12 parking meter
-13 bench
-14 bird
-15 cat
-16 dog
-17 horse
-18 sheep
-19 cow
-20 elephant
-21 bear
-22 zebra
-23 giraffe
-24 backpack
-25 umbrella
-26 handbag
-27 tie
-28 suitcase
-29 frisbee
-30 skis
-31 snowboard
-32 sports ball
-33 kite
-34 baseball bat
-35 baseball glove
-36 skateboard
-37 surfboard
-38 tennis racket
-39 bottle
-40 wine glass
-41 cup
-42 fork
-43 knife
-44 spoon
-45 bowl
-46 banana
-47 apple
-48 sandwich
-49 orange
-50 broccoli
-51 carrot
-52 hot dog
-53 pizza
-54 donut
-55 cake
-56 chair
-57 couch
-58 potted plant
-59 bed
-60 dining table
-61 toilet
-62 tv
-63 laptop
-64 mouse
-65 remote
-66 keyboard
-67 cell phone
-68 microwave
-69 oven
-70 toaster
-71 sink
-72 refrigerator
-73 book
-74 clock
-75 vase
-76 scissors
-77 teddy bear
-78 hair drier
-79 toothbrush

docker/main/Dockerfile

@@ -279,6 +279,18 @@ RUN apt-get install -y --no-install-recommends memx-accl
 # Debug messages
 RUN echo "Hello from inside MemryX Docker image!"
 
+# Set the working directory for model files
+WORKDIR /memryx_models
+
+# Download and extract MemryX model files
+RUN wget -O yolox.zip https://developer.memryx.com/example_files/1p2_frigate/yolox.zip && unzip yolox.zip && \
+    wget -O ssdlite.zip https://developer.memryx.com/example_files/1p2_frigate/ssdlite.zip && unzip ssdlite.zip && \
+    wget -O yolo_nas.zip https://developer.memryx.com/example_files/1p2_frigate/yolo_nas.zip && unzip yolo_nas.zip && \
+    wget -O yolov9.zip https://developer.memryx.com/example_files/1p2_frigate/yolov9.zip && unzip yolov9.zip
+
+# Set permissions for the models directory
+RUN chmod -R 755 /memryx_models
+
 RUN ldconfig
 
 EXPOSE 5000
@@ -354,4 +366,4 @@ COPY --from=web-build /work/dist/ web/
 FROM deps AS frigate
 
 WORKDIR /opt/frigate/
-COPY --from=rootfs / /
+COPY --from=rootfs / /

frigate/detectors/plugins/memryx.py

@@ -57,18 +57,18 @@ class MemryXDetector(DetectionApi):
         self.memx_model_width = detector_config.model.width
         self.memx_model_type = detector_config.model.model_type
 
-        self.cache_dir = "/config/model_cache/memryx_cache"
+        self.cache_dir = "/memryx_models"
 
         if self.memx_model_type == ModelTypeEnum.yolov9:
             self.model_url = "https://developer.memryx.com/model_explorer/1p2/YOLO_v9_small_640_640_3_onnx.zip"
             # self.expected_post_model = "YOLO_v9_small_640_640_3_onnx_post.onnx"
-            self.const_A = np.load("/config/model_cache/memryx_cache/_model_22_Constant_9_output_0.npy")
-            self.const_B = np.load("/config/model_cache/memryx_cache/_model_22_Constant_10_output_0.npy")
-            self.const_C = np.load("/config/model_cache/memryx_cache/_model_22_Constant_12_output_0.npy")  
+            self.const_A = np.load("/memryx_models/yolov9/_model_22_Constant_9_output_0.npy")
+            self.const_B = np.load("/memryx_models/yolov9/_model_22_Constant_10_output_0.npy")
+            self.const_C = np.load("/memryx_models/yolov9/_model_22_Constant_12_output_0.npy")  
 
         elif self.memx_model_type == ModelTypeEnum.yolonas:
             self.model_url = ""
-            self.expected_post_model = "yolo_nas_s_post.onnx"
+            self.expected_post_model = "yolo_nas/yolo_nas_s_post.onnx"
 
         elif self.memx_model_type == ModelTypeEnum.yolox:
             self.model_url = "https://developer.memryx.com/model_explorer/1p2/YOLOX_640_640_3_onnx.zip"
@@ -77,7 +77,7 @@ class MemryXDetector(DetectionApi):
 
         elif self.memx_model_type == ModelTypeEnum.ssd:
             self.model_url = "https://developer.memryx.com/model_explorer/1p2/SSDlite_MobileNet_v2_320_320_3_onnx.zip"
-            self.expected_post_model = "SSDlite_MobileNet_v2_320_320_3_onnx_post.onnx"
+            self.expected_post_model = "ssdlite/SSDlite_MobileNet_v2_320_320_3_onnx_post.onnx"
 
         self.check_and_prepare_model()
         logger.info(f"Initializing MemryX with model: {self.memx_model_path} on device {self.memx_device_path}")
@@ -110,6 +110,7 @@ class MemryXDetector(DetectionApi):
 
         else:
             post_model_file_path = os.path.join(self.cache_dir, self.expected_post_model)
+
             # model_file_path_tflite = os.path.join(self.cache_dir, self.expected_model_filename_tflite)
 
             # Check if both required model files exist