jurvanwijk

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Hi Mikel, thanks for reacting. It are single images with a 5 second interval (so no video). Is it useful for you to get these images?

Below I posted three images which follow each other up. As said, there is a 5 second interval between the images. I want to be able to recognize the plastics...

Many thanks for helping me. I will post the a small batch of the image folder here!: [image_20221020_092812_01.zip](https://github.com/mikel-brostrom/Yolov5_StrongSORT_OSNet/files/10314657/image_20221020_092812_01.zip)

Yes, little to no improvement. The weird thing is, the output in Jupyter suggests that there is detection going on: ![image](https://user-images.githubusercontent.com/76775355/209830013-5308f9bf-f7f0-4e6d-9428-2d9fd5059df1.png) Any other suggestions? Would bursts of images help the...

So the interval of my images is 5 seconds, but it could be possible to get image burst for each of these images every 5 seconds. In stead of 1...

Changing the values has a positive effect on the detection! It is however stilll common for the model to change the numbering of the items, making counting via the ids...

Yes, I will send a zipfile to your email with both the images and annotations. Nice, is the hyperparameter search script a long term project or will it be finished...

Cool, sounds good. Interested to see the results! Could you let me know if it is finished? Or what hyperparameter setup works best?

The last line runs into some errors, the arguments are unrecognized: "val.py: error: unrecognized arguments: --evolve --n-trials 1000" Any suggestions on how to fix it?