can you guide how to use yolov5 detect real time webcam in google colab
@hansrajsou3686
2 жыл бұрын
thanks bro
@deeplearning5898
2 жыл бұрын
Thank you for this video. Can you do that for yolov3?
@mukhdarmustafa3727
2 жыл бұрын
if stuck 608 x m608 create 6 permanent cpu-threads on google colab at the final stage of the tutorial that you uploaded, how do you solve it.? Please Help.. Thank you
@PP-fh2mk
3 жыл бұрын
At 9:30 1) If we want to combine our custom set in default which yolov5 given sets is it possible? and how 2) or can we delete some classes that we doesn't needs? I would like to make custom sets with person classes, But if I made custom sets in your videos' method Maybe i think i have to make person dataset again . so i want to ask about 1) & 2) problems
@umarmuhammadi429
2 жыл бұрын
Thanks for the tutorial Please is there any way I can include count Let's say i want to count how many balls are in the field.
@kumarvaibhav4270
2 жыл бұрын
What if i want to do in real time detection with yolov5, will it be possible?
@mithushanjalangan5132
3 жыл бұрын
What would be the best way to tune YOLO to perform well in a low amount of dataset. Say 30 images , but inside the images there are at least 5 to 6 items to be detected (drawing (scribbling) in a room). The items are same across all the pictures,but different orientations and different strokes.
@mithushanjalangan5132
3 жыл бұрын
Data augmentation will help ?
@MdEmon-pw4zj
3 жыл бұрын
what do u mean by epochs?
@James-oi5yn
Жыл бұрын
Each training run is an epoch. If you have epochs = 100, then you are telling the model to train for 100 times and learn from each run.
@faishalichal8934
Жыл бұрын
in 2022, the coco128.yaml from ultralitycs, another train and val there are ara path (path: ../datasets/coco128 # dataset root dir) how i change it ?
@MdEmon-pw4zj
3 жыл бұрын
please provide yolo v5 jurnal paper
@zaheerbeg4810
2 жыл бұрын
Hey , # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..] path: ../datasets/coco128 # dataset root dir train: /content/drive/MyDrive/yolov5_dataset/images/train # train images (relative to 'path') val: /content/drive/MyDrive/yolov5_dataset/images/valid # val images (relative to 'path') test: # test images (optional) What about path should i keep it as it is because it is showing file not found error.
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