abhigoku10

@ArtyZe i am not chinese ,it would be helpful if you could share the readme based on ur time thanku

@ArtyZe i want o use your https://github.com/ArtyZe/yolo_embedded_acceleration code , can you share the weights and cfg files to first test the working of the code

@kinginsky yes even i am facing the same issue . do u have any alternate solution for it do let me know

@feiyuhuahuo thanks for the response, i double checked the theory part of anchor free based (fcos) and found the difference Yolact -- backbone resnet50 x.shape torch.Size([1, 3, 544, 544]) outs[0].shape...

@feiyuhuahuo thanks for the response, the input image size is also different, 1.how will yolact respond when used the similar input size and backbone feature sizes ? 2.In yolact y...

@feiyuhuahuo thanks for the response , i debugged to find the difference in implementation and below r my observations 1. the input image size in fcos is minimum 800 but...

@feiyuhuahuo which part of the code can we convert the input image size to the 800 in the code currently its resizing to 544 resolution

@feiyuhuahuo in your implementation the scales and fpn shapes are defaults based on the image size ie 544 so if input image size is changed it would not work right...

@feiyuhuahuo so generally in configy img_size should be given as [800,14440] as a list then the self.scales the formulae should change right cfg.img_size/544 so what value to be given and...

@jpainam where you able to implement this functionality ??