https://github.com/teknoir/camera-cpp-opencv

A small footprint c++ camera app.
https://github.com/teknoir/camera-cpp-opencv

app camera edge

Last synced: about 1 month ago
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A small footprint c++ camera app.

• Host: GitHub
• URL: https://github.com/teknoir/camera-cpp-opencv
• Owner: teknoir
• Created: 2021-06-07T14:55:52.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-10-31T09:09:44.000Z (about 1 year ago)
• Last Synced: 2023-10-31T11:25:01.061Z (about 1 year ago)
• Topics: app, camera, edge
• Language: C++
• Homepage: https://teknoir.cloud
• Size: 216 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Teknoir Camera OpenCV C++

A small footprint c++ camera app.

## Build

```bash

gcloud builds submit . --config=cloudbuild.yaml --timeout=3600 --substitutions=SHORT_SHA="$(date +v%Y%m%d)-$(git describe --tags --always --dirty)-$(git diff | shasum -a256 | cut -c -6)"

```

## Build locally

```bash

cd app

mkdir build

cd build

cmake ..

make

make install

```

## Run interactively on device

```bash

sudo kubectl run camera_cppcv -ti --rm --image tekn0ir/camera_cppcv:arm64v8 --overrides='{"spec":{"imagePullSecrets":[{"name":"gcr-json-key"}],"containers":[{"name":"camera_cppcv","image":"tekn0ir/camera_cppcv:arm64v8","command":["/bin/bash"],"tty":true,"stdin":true,"imagePullPolicy":"Always","securityContext":{"privileged":true},"env":[{"name":"MQTT_SERVICE_HOST","value":"mqtt.kube-system"},{"name":"MQTT_SERVICE_PORT","value":"1883"},{"name":"MQTT_IN_0","value":"camera/images"},{"name":"MQTT_OUT_0","value":"toe/events"},{"name":"NAMES_FILE","value":"/camera_cppcv/coco.names"},{"name":"CFG_FILE","value":"/camera_cppcv/yolov3.cfg"},{"name":"WEIGHTS_FILE","value":"/camera_cppcv/yolov3.weights"}]}]}}'

teknoir_app

```

## Run locally

```bash

docker run -it --rm -p 1883:1883 -p 9001:9001 --name mqtt-broker eclipse-mosquitto

# and in another terminal window run:

docker run -it --rm -e MQTT_SERVICE_HOST= tekn0ir/camera_cppcv:arm64v8

```

To stop the example press `ctrl-c`.

## Legacy build and publish docker images

```bash

docker build -t tekn0ir/camera_cppcv:amd64 -f amd64.Dockerfile .

docker push tekn0ir/camera_cppcv:amd64

docker build -t tekn0ir/camera_cppcv:arm64v8 -f arm64v8.Dockerfile .

docker push tekn0ir/camera_cppcv:arm64v8

```

struct bbox_t {

    unsigned int x, y, w, h;    // (x,y) - top-left corner, (w, h) - width & height of bounded box

    float prob;                    // confidence - probability that the object was found correctly

    unsigned int obj_id;        // class of object - from range [0, classes-1]

    unsigned int track_id;        // tracking id for video (0 - untracked, 1 - inf - tracked object)

    unsigned int frames_counter;// counter of frames on which the object was detected

};

class Detector {

public:

        Detector(std::string cfg_filename, std::string weight_filename, int gpu_id = 0);

        ~Detector();

        std::vector detect(std::string image_filename, float thresh = 0.2, bool use_mean = false);

        std::vector detect(image_t img, float thresh = 0.2, bool use_mean = false);

        static image_t load_image(std::string image_filename);

        static void free_image(image_t m);

#ifdef OPENCV

        std::vector detect(cv::Mat mat, float thresh = 0.2, bool use_mean = false);

	std::shared_ptr mat_to_image_resize(cv::Mat mat) const;

#endif

};