YoloV3 / tiny-YoloV3 + RaspberryPi3 / Ubuntu LaptopPC + NCS/NCS2 + USB Camera + Python
Inspired from https://github.com/mystic123/tensorflow-yolo-v3.git
Performance comparison as a mobile application (Based on sensory comparison)
◯=HIGH, △=MEDIUM, ×=LOW
| No. | Model | Speed | Accuracy | Adaptive distance |
|---|---|---|---|---|
| 1 | SSD | × | ◯ | ALL |
| 2 | MobileNet-SSD | △ | △ | Short distance |
| 3 | YoloV3 | × | ◯ | ALL |
| 4 | tiny-YoloV3 | ◯ | △ | Long distance |
- [24 FPS] Boost RaspberryPi3 with four Neural Compute Stick 2 (NCS2) MobileNet-SSD / YoloV3 [48 FPS for Core i7]
- [13 FPS] NCS2 x 4 + Full size YoloV3 performance has been tripled
- Support for local training and OpenVINO of One Class tiny-YoloV3 with a proprietary data set
[Mar 01, 2019] Improve accuracy. Fixed preprocessing and postprocessing bug.
[Mar 17, 2019] Added a training procedure with your own data set.
[Apr 03, 2019] Work on OpenVINO 2019 R1 started.
[Apr 14, 2019] Compatible with 2019 R1.
<CPP + YoloV3 - Intel Core i7-8750H, CPU Only, 4 FPS - 5 FPS>
<CPP + tiny-YoloV3 - Intel Core i7-8750H, CPU Only, 60 FPS>
<Python + tiny-YoloV3 + USBCamera, Core i7-8750H, CPU Only, 30 FPS>
<Python + tiny-YoloV3 + Async + USBCamera, Core i7-8750H, NCS2, 30 FPS+>
To raise the detection rate, lower the threshold by yourself.
The default threshold is 40%.
<Python + YoloV3 + MP4, Core i7-8750H, NCS2 x4, 13 FPS>
【Note】 Due to the performance difference of ARM <-> Core series, performance is degraded in RaspberryPi3.
$ python3 openvino_yolov3_test.py$ python3 openvino_tiny-yolov3_MultiStick_test.py -numncs 1$ python3 openvino_yolov3_MultiStick_test.py -numncs 4cpp version is here "cpp/object_detection_demo_yolov3_async"
- LattePanda Alpha (Intel 7th Core m3-7y30) or LaptopPC (Intel 8th Core i7-8750H)
- Ubuntu 16.04 x86_64
- RaspberryPi3
- Raspbian Stretch armv7l
- OpenVINO toolkit 2019 R1 (2019.1.094)
- Python 3.5
- OpenCV 4.1.0-openvino
- Tensorflow v1.12.0 or Tensorflow-GPU v1.12.0 (pip install)
- YoloV3 (MS-COCO)
- tiny-YoloV3 (MS-COCO)
- USB Camera (PlaystationEye) / Movie file (mp4)
- Intel Neural Compute Stick v1 / v2
- Supported Framework Layers
- Supported Caffe Layers
- Supported TensorFlow Layers
- Supported MXNet Layers
- Supported ONNX Layers
Supported Devices (https://docs.openvinotoolkit.org/latest/_docs_IE_DG_supported_plugins_Supported_Devices.html#supported_layers)
| Layers | GPU | CPU | MYRIAD(VPU) | GNA | FPGA | ShapeInfer |
|---|---|---|---|---|---|---|
| Activation-Clamp | Supported | Supported | Supported | Supported | Supported | Supported |
| Activation-ELU | Supported | Supported | Supported | Not Supported | Supported | Supported |
| Activation-Leaky ReLU | Supported | Supported | Supported | Supported | Supported | Supported |
| Activation-PReLU | Supported | Supported | Supported | Not Supported | Supported | Supported |
| Activation-ReLU | Supported | Supported | Supported | Supported | Supported | Supported |
| Activation-ReLU6 | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| Activation-Sigmoid/Logistic | Supported | Supported | Supported | Supported | Not Supported | Supported |
| Activation-TanH | Supported | Supported | Supported | Supported | Not Supported | Supported |
| ArgMax | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| BatchNormalization | Supported | Supported | Supported | Not Supported | Supported | Supported |
| Concat | Supported | Supported | Supported | Supported | Supported | Supported |
| Const | Supported | Supported | Supported | Not Supported | Not Supported | Not Supported |
| Convolution-Dilated | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| Convolution-Dilated 3D | Not Supported | Supported | Not Supported | Not Supported | Not Supported | Not Supported |
| Convolution-Grouped | Supported | Supported | Supported | Not Supported | Supported | Supported |
| Convolution-Grouped 3D | Not Supported | Supported | Not Supported | Not Supported | Not Supported | Not Supported |
| Convolution-Ordinary | Supported | Supported | Supported | Supported | Supported | Supported |
| Convolution-Ordinary 3D | Not Supported | Supported | Not Supported | Not Supported | Not Supported | Not Supported |
| Crop | Supported | Supported | Supported | Supported | Not Supported | Supported |
| CTCGreedyDecoder | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| Deconvolution | Supported | Supported | Supported | Not Supported | Supported | Supported |
| Deconvolution 3D | Not Supported | Supported | Not Supported | Not Supported | Not Supported | Not Supported |
| DetectionOutput | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| Eltwise-Max | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| Eltwise-Mul | Supported | Supported | Supported | Supported | Not Supported | Supported |
| Eltwise-Sum | Supported | Supported | Supported | Supported | Supported | Supported |
| Flatten | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| FullyConnected (Inner Product) | Supported | Supported | Supported | Supported | Supported | Supported |
| Gather | Not Supported | Supported | Not Supported | Not Supported | Not Supported | Supported |
| Gemm | Not Supported | Supported | Not Supported | Not Supported | Not Supported | Supported |
| GRN | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| Interp | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| LRN (Norm) | Supported | Supported | Supported | Not Supported | Supported | Supported |
| LSTMCell | Supported | Supported | Not Supported | Not Supported | Not Supported | Not Supported |
| GRUCell | Supported | Supported | Not Supported | Not Supported | Not Supported | Not Supported |
| RNNCell | Supported | Supported | Not Supported | Not Supported | Not Supported | Not Supported |
| LSTMSequence | Supported | Supported | Not Supported | Not Supported | Not Supported | Not Supported |
| GRUSequence | Supported | Supported | Not Supported | Not Supported | Not Supported | Not Supported |
| RNNSequence | Supported | Supported | Not Supported | Not Supported | Not Supported | Not Supported |
| Memory | Not Supported | Supported | Not Supported | Supported | Not Supported | Supported |
| MVN | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| Normalize | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| Pad | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| Permute | Supported | Supported | Supported | Supported | Not Supported | Supported |
| Pooling(AVG,MAX) | Supported | Supported | Supported | Supported | Supported | Supported |
| Pooling(AVG,MAX) 3D | Not Supported | Supported | Not Supported | Not Supported | Not Supported | Not Supported |
| Power | Supported | Supported | Supported | Supported | Supported | Supported |
| PriorBox | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| PriorBoxClustered | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| Proposal | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| PSROIPooling | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| RegionYolo | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| ReorgYolo | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| Resample | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| Reshape | Supported | Supported | Supported | Supported | Not Supported | Supported |
| RNN | Not Supported | Supported | Supported | Not Supported | Not Supported | Not Supported |
| ROIPooling | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| ScaleShift | Supported | Supported | Supported | Supported | Supported | Supported |
| SimplerNMS | Supported | Supported | Not Supported | Not Supported | Not Supported | Supported |
| Slice | Supported | Supported | Supported | Supported | Supported | Supported |
| SoftMax | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| SpatialTransformer | Not Supported | Supported | Not Supported | Not Supported | Not Supported | Supported |
| Split | Supported | Supported | Supported | Supported | Supported | Supported |
| TensorIterator | Not Supported | Supported | Not Supported | Not Supported | Not Supported | Not Supported |
| Tile | Supported | Supported | Supported | Not Supported | Not Supported | Supported |
| Unpooling | Supported | Not Supported | Not Supported | Not Supported | Not Supported | Not Supported |
| Upsampling | Supported | Not Supported | Not Supported | Not Supported | Not Supported | Not Supported |
https://docs.openvinotoolkit.org/latest/_inference_engine_ie_bridges_python_docs_api_overview.html
1.OpenVINO 2019R1 Full-Install. Execute the following command.
$ cd ~
$ curl -sc /tmp/cookie "https://drive.google.com/uc?export=download&id=1OW2HK4KsImPuqvHI7NZ7_w9P7rB80sBI" > /dev/null
$ CODE="$(awk '/_warning_/ {print $NF}' /tmp/cookie)"
$ curl -Lb /tmp/cookie "https://drive.google.com/uc?export=download&confirm=${CODE}&id=1OW2HK4KsImPuqvHI7NZ7_w9P7rB80sBI" -o l_openvino_toolkit_p_2019.1.094.tgz
$ tar -zxf l_openvino_toolkit_p_2019.1.094.tgz
$ rm l_openvino_toolkit_p_2019.1.094.tgz
$ cd l_openvino_toolkit_p_2019.1.094
$ sudo -E ./install_openvino_dependencies.sh
## GUI version installer
$ sudo ./install_GUI.sh
or
## CUI version installer
$ sudo ./install.sh2.Configure the Model Optimizer. Execute the following command.
$ cd /opt/intel/openvino/install_dependencies/
$ sudo -E ./install_openvino_dependencies.sh
$ nano ~/.bashrc
source /opt/intel/openvino/bin/setupvars.sh
$ source ~/.bashrc
$ cd /opt/intel/openvino/deployment_tools/model_optimizer/install_prerequisites/
$ sudo ./install_prerequisites.sh3.【Optional execution】 Additional installation steps for the Intel® Movidius™ Neural Compute Stick v1 and Intel® Neural Compute Stick v2
$ sudo usermod -a -G users "$(whoami)"
$ cat <<EOF > 97-usbboot.rules
SUBSYSTEM=="usb", ATTRS{idProduct}=="2150", ATTRS{idVendor}=="03e7", GROUP="users", MODE="0666", ENV{ID_MM_DEVICE_IGNORE}="1"
SUBSYSTEM=="usb", ATTRS{idProduct}=="2485", ATTRS{idVendor}=="03e7", GROUP="users", MODE="0666", ENV{ID_MM_DEVICE_IGNORE}="1"
SUBSYSTEM=="usb", ATTRS{idProduct}=="f63b", ATTRS{idVendor}=="03e7", GROUP="users", MODE="0666", ENV{ID_MM_DEVICE_IGNORE}="1"
EOF
$ sudo cp 97-usbboot.rules /etc/udev/rules.d/
$ sudo udevadm control --reload-rules
$ sudo udevadm trigger
$ sudo ldconfig
$ rm 97-usbboot.rules4.【Optional execution】 Additional installation steps for processor graphics (GPU, Intel HD Graphics series only)
$ cd /opt/intel/openvino/install_dependencies/
$ sudo -E su
$ uname -r
4.15.0-42-generic #<--- display kernel version sample
### Execute only when the kernel version is older than 4.14
$ ./install_4_14_kernel.sh
$ ./install_NEO_OCL_driver.sh
$ sudo reboot[Note] Only the execution environment is introduced.
1.Execute the following command.
$ sudo apt update
$ sudo apt upgrade
$ curl -sc /tmp/cookie "https://drive.google.com/uc?export=download&id=1gMNE3bA8_DVGwFxV4dJYTP3qmGwKnkX6" > /dev/null
$ CODE="$(awk '/_warning_/ {print $NF}' /tmp/cookie)"
$ curl -Lb /tmp/cookie "https://drive.google.com/uc?export=download&confirm=${CODE}&id=1gMNE3bA8_DVGwFxV4dJYTP3qmGwKnkX6" -o l_openvino_toolkit_raspbi_p_2019.1.094.tgz
$ tar -zxvf l_openvino_toolkit_raspbi_p_2019.1.094.tgz
$ rm l_openvino_toolkit_raspbi_p_2019.1.094.tgz
$ sed -i "s|<INSTALLDIR>|$(pwd)/inference_engine_vpu_arm|" inference_engine_vpu_arm/bin/setupvars.sh2.Execute the following command.
$ nano ~/.bashrc
### Add 1 row below
source /home/pi/inference_engine_vpu_arm/bin/setupvars.sh
$ source ~/.bashrc
### Successful if displayed as below
[setupvars.sh] OpenVINO environment initialized
$ sudo usermod -a -G users "$(whoami)"
$ sudo reboot3.Update USB rule.
$ sh inference_engine_vpu_arm/install_dependencies/install_NCS_udev_rules.sh
### It is displayed as follows
Update udev rules so that the toolkit can communicate with your neural compute stick
[install_NCS_udev_rules.sh] udev rules installed[Note] OpenCV 4.1.0 will be installed without permission when the work is finished. If you do not want to affect other environments, please edit environment variables after installation is completed.
See the article below.
A sample of one-class training with Darknet and tiny-YoloV3.
https://qiita.com/PINTO/items/7dd7135085a7249bf17a#support-for-local-training-and-openvino-of-one-class-tiny-yolov3-with-a-proprietary-data-set
$ cd ~
$ curl -sc /tmp/cookie "https://drive.google.com/uc?export=download&id=1dvR3pdM6vtkTWqeR-DpgVUoDV0EYWil5" > /dev/null
$ CODE="$(awk '/_warning_/ {print $NF}' /tmp/cookie)"
$ curl -Lb /tmp/cookie "https://drive.google.com/uc?export=download&confirm=${CODE}&id=1dvR3pdM6vtkTWqeR-DpgVUoDV0EYWil5" -o bazel
$ sudo cp ./bazel /usr/local/bin
$ rm ./bazelhttps://github.com/PINTO0309/Bazel_bin.git
Simple structure analysis.
$ cd ~
$ git clone -b v1.11.0 https://github.com/tensorflow/tensorflow.git
$ cd tensorflow
$ git checkout -b v1.11.0
$ bazel build tensorflow/tools/graph_transforms:summarize_graph
$ bazel-bin/tensorflow/tools/graph_transforms/summarize_graph --in_graph=xxxx.pbYoloV3
Found 1 possible inputs: (name=inputs, type=float(1), shape=[?,416,416,3])
No variables spotted.
Found 1 possible outputs: (name=output_boxes, op=ConcatV2)
Found 62002034 (62.00M) const parameters, 0 (0) variable parameters, and 0 control_edges
Op types used: 536 Const, 372 Identity, 87 Mul, 75 Conv2D, 72 FusedBatchNorm, 72 Maximum, 28 Add, \
24 Reshape, 14 ConcatV2, 9 Sigmoid, 6 Tile, 6 Range, 5 Pad, 4 SplitV, 3 Pack, 3 RealDiv, 3 Fill, \
3 Exp, 3 BiasAdd, 2 ResizeNearestNeighbor, 2 Sub, 1 Placeholder
To use with tensorflow/tools/benchmark:benchmark_model try these arguments:
bazel run tensorflow/tools/benchmark:benchmark_model -- \
--graph=/home/b920405/git/OpenVINO-YoloV3/pbmodels/frozen_yolo_v3.pb \
--show_flops \
--input_layer=inputs \
--input_layer_type=float \
--input_layer_shape=-1,416,416,3 \
--output_layer=output_boxestiny-YoloV3
Found 1 possible inputs: (name=inputs, type=float(1), shape=[?,416,416,3])
No variables spotted.
Found 1 possible outputs: (name=output_boxes, op=ConcatV2)
Found 8858858 (8.86M) const parameters, 0 (0) variable parameters, and 0 control_edges
Op types used: 134 Const, 63 Identity, 21 Mul, 16 Reshape, 13 Conv2D, 11 FusedBatchNorm, 11 Maximum, \
10 ConcatV2, 6 Sigmoid, 6 MaxPool, 4 Tile, 4 Add, 4 Range, 3 RealDiv, 3 SplitV, 2 Pack, 2 Fill, \
2 Exp, 2 Sub, 2 BiasAdd, 1 Placeholder, 1 ResizeNearestNeighbor
To use with tensorflow/tools/benchmark:benchmark_model try these arguments:
bazel run tensorflow/tools/benchmark:benchmark_model -- \
--graph=/home/b920405/git/OpenVINO-YoloV3/pbmodels/frozen_tiny_yolo_v3.pb \
--show_flops \
--input_layer=inputs \
--input_layer_type=float \
--input_layer_shape=-1,416,416,3 \
--output_layer=output_boxesConvert to text format.
$ python3 tfconverter.py
### ".pbtxt" in ProtocolBuffer format is output.
### The size of the generated text file is huge.Use Tensorboard.
import tensorflow as tf
from tensorflow.python.platform import gfile
with tf.Session() as sess:
model_filename ="xxxx.pb"
with gfile.FastGFile(model_filename, "rb") as f:
graph_def = tf.GraphDef()
graph_def.ParseFromString(f.read())
g_in = tf.import_graph_def(graph_def)
LOGDIR="path/to/logs"
train_writer = tf.summary.FileWriter(LOGDIR)
train_writer.add_graph(sess.graph)$ tensorboard --logdir=path/to/logsAccess http://localhost:6006 from the browser.
Use netron.
$ sudo -H pip3 install netron$ netron -b [MODEL_FILE]Access http://localhost:8080 from the browser.
https://ncsforum.movidius.com/discussion/1302/intel-neural-compute-stick-2-information
OpenVINO failing on YoloV3's YoloRegion, only one working on FP16, all working on FP32
Regarding YOLO family networks on NCS2. Possibly a work-around
Convert YOLOv3 Model to IR
https://github.com/opencv/opencv/wiki/Intel%27s-Deep-Learning-Inference-Engine-backend https://github.com/opencv/opencv/wiki/Intel%27s-Deep-Learning-Inference-Engine-backend#raspbian-stretch