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Yolov7-tiny support about yolov7_openvino_cpp-python HOT 9 CLOSED

n3ry7 commented on August 23, 2024

Yolov7-tiny support

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Comments (9)

n3ry7 commented on August 23, 2024 1

No worry about newbie questions, I am newbie too and could help other people too.

Yeah I believe those would be the classes for any model in the repository.

This would likely change if you ptrain on custom datasets.

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n3ry7 commented on August 23, 2024

I just tested and it does work.

Thanks!

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bbartling commented on August 23, 2024

If you dont mind me asking what is Tiny Yolo? Is that something you run on like smaller device CPU like a rasp pi computer?

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n3ry7 commented on August 23, 2024

It is a smaller version of the model meant to run faster.

The project I am working on we actually use it with intel i-gpu and we manage to run inference on 15 fps 416x416 images.

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bbartling commented on August 23, 2024

Cool would you know where I could find that model? Any chance for a link : )

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n3ry7 commented on August 23, 2024

Yes it is available at the yolov7 repo https://github.com/WongKinYiu/yolov7

You just have to choose the yolov7-tiny weights and params when training.

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bbartling commented on August 23, 2024

Hi @n3ry7 would you know if its possible to download a pretrained model for Yolo7 Tiny? or would I have to train one?

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n3ry7 commented on August 23, 2024

There are pre-trained weights on the release page https://github.com/WongKinYiu/yolov7/releases

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bbartling commented on August 23, 2024

Thanks @n3ry7 for sending this....one last newbie question would the classes be the same for any of the WongKinYiu Yolo v7 models including Tiny Yolo v7?

        self.classes = [
            "person",
            "bicycle",
            "car",
            "motorcycle",
            "airplane",
            "bus",
            "train",
            "truck",
            "boat",
            "traffic light",
            "fire hydrant",
            "stop sign",
            "parking meter",
            "bench",
            "bird",
            "cat",
            "dog",
            "horse",
            "sheep",
            "cow",
            "elephant",
            "bear",
            "zebra",
            "giraffe",
            "backpack",
            "umbrella",
            "handbag",
            "tie",
            "suitcase",
            "frisbee",
            "skis",
            "snowboard",
            "sports ball",
            "kite",
            "baseball bat",
            "baseball glove",
            "skateboard",
            "surfboard",
            "tennis racket",
            "bottle",
            "wine glass",
            "cup",
            "fork",
            "knife",
            "spoon",
            "bowl",
            "banana",
            "apple",
            "sandwich",
            "orange",
            "broccoli",
            "carrot",
            "hot dog",
            "pizza",
            "donut",
            "cake",
            "chair",
            "couch",
            "potted plant",
            "bed",
            "dining table",
            "toilet",
            "tv",
            "laptop",
            "mouse",
            "remote",
            "keyboard",
            "cell phone",
            "microwave",
            "oven",
            "toaster",
            "sink",
            "refrigerator",
            "book",
            "clock",
            "vase",
            "scissors",
            "teddy bear",
            "hair drier",
            "toothbrush",
        ]

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Related Issues (20)

Yolov7 Tiny setting confidence Thres HOT 4
Link not working HOT 1
any support for --grid parameter while exporting .onnx model? HOT 24
[Bug] The line `img.transpose(2, 0, 1)` should be `img = img.transpose(2, 0, 1)`. NumPy's transpose operation does not support in-place assignment. HOT 1
output processing is slow HOT 24
adding tracker deepsort/sort (int 8 or openvo ir ) to object detection .onnx file or .int8 format file HOT 31
fps code is not working HOT 2
float data1[img_h*img_w*3] compile error HOT 1
Inference with 1280 images HOT 4
fps im getting is varing too much
Yolov7-seg support HOT 2
Downloading Yolo7 modex HOT 4
hardware to run HOT 4
Process multiple video feeds ansyc HOT 5
Python Run Issue
c++ has encountered an error HOT 1
getting setup HOT 11
webcam.py HOT 13
4 anchor boxes instead of 3 HOT 1
YOLOv7 with Multiple Object Tracker - SORT Algorithm HOT 10

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