| PaddlePaddle/FastDeploy |
2,547 |
|
0 |
0 |
about 2 years ago |
19 |
June 27, 2022 |
717 |
apache-2.0 |
C++ |
| ⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support. |
| intel-iot-devkit/people-counter-python |
88 |
|
0 |
0 |
over 3 years ago |
0 |
|
7 |
bsd-3-clause |
JavaScript |
| Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection. |
| intel-iot-devkit/people-counter-cpp |
70 |
|
0 |
0 |
over 3 years ago |
0 |
|
8 |
bsd-3-clause |
C++ |
| Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection. |
| intel-iot-devkit/smart-retail-analytics |
68 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
bsd-3-clause |
Python |
| Use computer vision inference in the Intel® Distribution of OpenVINO™ toolkit to provide analytics on customer engagement, store traffic, and shelf inventory. |
| yas-sim/object-tracking-line-crossing-area-intrusion |
63 |
|
0 |
0 |
about 4 years ago |
0 |
|
5 |
apache-2.0 |
Python |
| Deep learning based object tracking with line crossing and area intrusion detection |
| intel-iot-devkit/concurrent-video-analytic-pipeline-optimization-sample-l |
46 |
|
0 |
0 |
over 2 years ago |
0 |
|
4 |
other |
C++ |
| Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream. |
| intel-iot-devkit/safety-gear-detector-python |
32 |
|
0 |
0 |
about 5 years ago |
0 |
|
4 |
bsd-3-clause |
Python |
| Observe workers as they pass in front of a camera to determine if they have adequate safety protection. |
| intel-iot-devkit/motor-defect-detector-python |
27 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
bsd-3-clause |
Python |
| Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise. |
| intel-iot-devkit/object-size-detector-python |
26 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
bsd-3-clause |
Python |
| Monitor mechanical bolts as they move down a conveyor belt. When a bolt of an irregular size is detected, this solution emits an alert. |
| intel-iot-devkit/store-traffic-monitor-python |
24 |
|
0 |
0 |
over 3 years ago |
0 |
|
4 |
bsd-3-clause |
Python |
| Monitor three different streams of video that count people inside and outside of a facility. This application also counts product inventory. |