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MOSES OLAFENWA
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change video url
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README.md

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This repository provides a custom DeepStack model that has been trained and can be used for creating a new `object detection API` for detecting **16 human actions** present in the [ActionNET Dataset](https://github.com/OlafenwaMoses/Action-Net) dataset. Also included in this repository is that dataset with the **YOLO annotations**.
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[>> Watch Video Demo](https://www.youtube.com/watch?v=msS8SooOPlc)
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[>> Watch Video Demo](https://www.youtube.com/watch?v=T3wZwLVB0iQ)
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- **Download DeepStack Model and Dataset**
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- **Create API and Detect Objects**

detect.py

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config = ServerConfig("http://localhost:80")
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detector = Detection(config=config, name="actionnet")
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detections = detector.detectObject(image=os.path.join("images", "test.jpg"), output=os.path.join("images", "test_detected.jpg"))
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detections = detector.detectObject(image=os.path.join("images", "test5.jpg"), output=os.path.join("images", "test5_detected.jpg"))
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for detection in detections:
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print("Name: {}".format(detection.label))

images/cycling.jpg

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images/test2.jpg

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images/test2_detected.jpg

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images/test3.jpg

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images/test3_detected.jpg

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images/test4.jpg

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images/test4_detected.jpg

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images/test5.jpg

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