exploratory

docker/Dockerfile.l4t.base

@@ -39,9 +39,7 @@ RUN pip3 wheel --wheel-dir=/wheels \
     setproctitle \
     peewee
 
-
+FROM nvcr.io/nvidia/l4t-tensorflow:r32.6.1-tf2.5-py3
-FROM nvcr.io/nvidia/l4t-tensorflow:r32.6.1-tf2.5-py3 as base
-
 ENV DEBIAN_FRONTEND=noninteractive
 RUN \
     apt-get update && apt-get install -y gnupg
@@ -80,7 +78,9 @@ RUN pip3 install \
     peewee_migrate \
     pydantic \
     zeroconf \
-    ws4py
+    ws4py \
+    # Python 3.6
+    shared-memory38
 
 
 # setup gstreamer
@@ -108,16 +108,13 @@ RUN wget -q https://github.com/google-coral/test_data/raw/release-frogfish/ssdli
 
 
 COPY --from=nginx /usr/local/nginx/ /usr/local/nginx/
+COPY --from=web /opt/frigate/build /opt/frigate/web/
 
 # s6-overlay
 COPY docker/rootfs/ /
 ADD https://github.com/just-containers/s6-overlay/releases/download/v2.2.0.3/s6-overlay-aarch64-installer /tmp/
 RUN chmod +x /tmp/s6-overlay-aarch64-installer && /tmp/s6-overlay-aarch64-installer /
 
-COPY --from=web /opt/frigate/build web/
-
-# Backports
-RUN pip3 install shared-memory38
 
 WORKDIR /opt/frigate/
 ADD frigate frigate/
@@ -125,96 +122,12 @@ ADD migrations migrations/
 COPY labelmap.txt /labelmap.txt
 
 
+# edgetpu experiments
+RUN wget -q https://github.com/Azure/Azure-AI-Camp/releases/download/v1.0/yolov4-tiny.tflite -O /yolov4-tiny.tflite
+
 EXPOSE 5000
 EXPOSE 1935
 
 ENTRYPOINT ["/init"]
 CMD ["python3", "-u", "-m", "frigate"]
 COPY frigate frigate/
-
-
-
-
-
-
-
-
-
-
-# # glibc-2.29
-# RUN     apt-get -qq update && \
-#         apt-get -qq install gawk bison
-# RUN \
-#         mkdir -p /opt/glibc-2.29/etc && cd /opt/glibc-2.29/etc && sh -c "echo '/opt/lib' >> ld.so.conf" && \
-#         DIR=/tmp/glibc && \
-#         mkdir -p ${DIR} && \
-#         cd ${DIR} && \
-#         curl -L http://ftp.gnu.org/gnu/glibc/glibc-2.29.tar.gz | tar xvz && \
-#         ./glibc-2.29/configure --prefix=/opt/glibc-2.29 && \
-#         make && \
-#         make install && \
-#         rm -rf ${DIR}
-
-
-# RUN     apt-get install -y openssl libssl-dev
-
-# RUN \
-#         DIR=/tmp/cmake && \
-#         mkdir -p ${DIR} && \
-#         cd ${DIR} && \
-#         curl -L https://github.com/Kitware/CMake/releases/download/v3.22.0/cmake-3.22.0.tar.gz | tar xvz && cd cmake-3.22.0 && \
-#         ./bootstrap -- -DCMAKE_USE_OPENSSL=ON && \
-#         make && \
-#         make install && \
-#         rm -rf ${DIR}
-
-
-# RUN \
-#     git clone https://github.com/tensorflow/tensorflow.git tensorflow_src
-
-# RUN \
-#     apt-get install -y curl && \
-#     mkdir tflite_build && cd tflite_build && \
-#     cmake ../tensorflow_src/tensorflow/lite -DTFLITE_ENABLE_GPU=ON && \
-#     cmake --build . -j && pwd
-
-
-# # RUN \
-# #     DIR=/${HOME}/tensorflow && \
-# #     mkdir -p ${DIR} && \
-# #     cd ${DIR} && \
-# #     curl -LO https://storage.googleapis.com/mirror.tensorflow.org/developer.arm.com/media/Files/downloads/gnu-a/8.3-2019.03/binrel/gcc-arm-8.3-2019.03-x86_64-aarch64-linux-gnu.tar.xz && \
-# #     mkdir -p ${DIR}/toolchains && \
-# #     tar xvf gcc-arm-8.3-2019.03-x86_64-aarch64-linux-gnu.tar.xz -C ${DIR}/toolchains
-
-# # RUN \
-# #     DIR=/${HOME}/tensorflow && \
-# #     cd ${DIR} && \
-# #     ARMCC_PREFIX=${DIR}/toolchains/gcc-arm-8.3-2019.03-x86_64-aarch64-linux-gnu/bin/aarch64-linux-gnu-  && \
-# #     ARMCC_FLAGS="-funsafe-math-optimizations"  && \
-# #         cmake -DCMAKE_C_COMPILER=${ARMCC_PREFIX}gcc \
-# #         -DCMAKE_CXX_COMPILER=${ARMCC_PREFIX}g++ \
-# #         -DCMAKE_C_FLAGS="${ARMCC_FLAGS}" \
-# #         -DCMAKE_CXX_FLAGS="${ARMCC_FLAGS}" \
-# #         -DCMAKE_VERBOSE_MAKEFILE:BOOL=ON \
-# #         -DCMAKE_SYSTEM_NAME=Linux \
-# #         -DCMAKE_SYSTEM_PROCESSOR=aarch64 \
-# #         ../tensorflow/lite/
-
-# # RUN \
-# #         DIR=/tmp/tflite_runtime && \
-# #         mkdir -p ${DIR} && \
-# #         wget -q https://github.com/google-coral/pycoral/releases/download/v1.0.1/tflite_runtime-2.5.0-cp38-cp38-linux_aarch64.whl -O ${DIR}/tflite_runtime-2.5.0.post1-cp38-cp38-linux_aarch64.whl && \
-# #         pip3 install -U ${DIR}/*.whl && \
-# #         rm -rf ${DIR}
-
-# # RUN \
-# #         DIR=/tmp/pycoral && \
-# #         mkdir -p ${DIR} && \
-# #         wget -q https://github.com/google-coral/pycoral/releases/download/v2.0.0/pycoral-2.0.0-cp38-cp38-linux_aarch64.whl -O ${DIR}/pycoral-2.0.0-cp38-cp38-linux_aarch64.whl && \
-# #         pip3 install -U ${DIR}/*.whl && \
-# #         rm -rf ${DIR}
-
-# FROM scratch
-
-# COPY --from=build /wheels /wheels

frigate/mqtt.py

@@ -107,7 +107,7 @@ def create_mqtt_client(config: FrigateConfig, camera_metrics):
                     + str(rc)
                 )
 
-        logger.info("MQTT connected")
+        logger.debug("MQTT connected")
         client.subscribe(f"{mqtt_config.topic_prefix}/#")
         client.publish(mqtt_config.topic_prefix + "/available", "online", retain=True)
 

frigate/output.py

@@ -32,11 +32,10 @@ class FFMpegConverter:
         ffmpeg_cmd = f"ffmpeg -f rawvideo -pix_fmt yuv420p -video_size {in_width}x{in_height} -i pipe: -f mpegts -s {out_width}x{out_height} -codec:v mpeg1video -q {quality} -bf 0 pipe:".split(
             " "
         )
-
+        # ffmpeg_cmd = f"gst-launch-1.0 rtspsrc location=\"rtsp://admin:123456@192.168.5.95:554/stream0\" ! rtph265depay ! h265parse ! omxh265dec ! 'video/x-raw,format=(string)NV12' ! videoconvert ! 'video/x-raw, width={in_width}, height={in_height}, format=I420, framerate=(fraction)10/1' ! omxh264enc bitrate=500000 temporal-tradeoff=2 iframeinterval=10 ! h264parse ! mpegtsmux ! fdsink"
-        # ffmpeg_cmd = f"gst-launch-1.0 fdsrc ! video/x-raw, width={in_width}, height={in_height}, format=I420 ! nvvideoconvert ! omxh264enc ! h264parse ! mpegtsmux ! fdsink".split(
+        # # .split(
-        #     " "
+        # #     " "
-        # )
+        # # )
-
 
         self.logpipe = LogPipe(
             "ffmpeg.converter", logging.ERROR)
@@ -46,6 +45,7 @@ class FFMpegConverter:
             stderr=self.logpipe,
             stdin=sp.PIPE,
             start_new_session=True,
+            # shell=True
         )
 
     def write(self, b):

frigate/record.py

@@ -286,7 +286,7 @@ class RecordingCleanup(threading.Thread):
             ["find", RECORD_DIR, "-type", "f", "!", "-newermt", f"@{oldest_timestamp}"],
             stdout=sp.PIPE,
             stderr=sp.PIPE,
-            text=True,
+            universal_newlines=True,
         )
         files_to_check = process.stdout.splitlines()