Hello,
First, thank you for the awesome work!
I am trying to run the pre-trained model of the CWC in the docker.
I downloaded the pre-trained model and froze it.
So I tried the inference on an image from the dataset (I tried different images).
And the result is not the one expected:
It seems that most of the background is detected as weed and that no crops are detected. I was expecting something close to the mask from the dataset.
I tried with tf and trt as backend and both return the same output.
From the readme we can see that the output should be way better. Any idea why I am getting this output?
Thanks,
Hello, First, thank you for the awesome work! I am trying to run the pre-trained model of the CWC in the docker. I downloaded the pre-trained model and froze it. So I tried the inference on an image from the dataset (I tried different images). And the result is not the one expected:
It seems that most of the background is detected as weed and that no crops are detected. I was expecting something close to the mask from the dataset. I tried with tf and trt as backend and both return the same output. From the readme we can see that the output should be way better. Any idea why I am getting this output? Thanks,
Guillaume