Closed biBottle closed 3 years ago
Maybe there's no problem with your pipeline, just the performance of the model is unsatisfying.
So I recommend you to test with images in training set.
Obviously, you are still loading the pre-trained weights. Please confirm whether the VERSION in cfge.py and the trained weights you downloaded match. @biBottle
I do as your advice and find there is one issue may also help....
In the checkpoint in r2cnn of dota1.0(the folder name the trained model is FPN_Res50D_DOTA_1x_20201031) ,it writes [model_checkpoint_path: "DOTA_486003model.ckpt"], when I change it to [model_checkpoint_path: "DOTA_378003model.ckpt"](the name of other files in the folder), then it works.
Thanks for the help!
sorry, still me……maybe I am too stupid, sorry to bring trouble to you..... the problem yesterday does not solve yet. Now the result imgs are like this(I change the self.cfgs.VIS_SCORE so it can show some boxes but obviously not correct). the dataset and command I use are like following. can you help me to check is there anything wrong TAT