Question

[Jiadalee]

Hello, I have a question about the run_cellpose_2.ipynb. For the section of Train new model, the initial model was trained and saved to model_path = train_dir + 'models/'. And then, for the following codes from the section of Evaluation on test data below,

masks = model.eval(test_data, channels=[chan, chan2], diameter=diam_labels)[0]

When you run the model on test images, why don'tyou load the trained model "CP_tissuenet" from the path and then pass the trained model for evaluation? why do you still directly call the model.eval()? It seems themodel.eval()` still calls the initial cyto default model, not the trained model' for evaluation. I would think of replacing this code block by below:

trained_model_path = "content/human_in_the_loop/train/models/CP_tissuenet"
model = models.CellposeModel(gpu=True, pretrained_model= trained_model_path )
masks = model.eval(test_data,
channels=[chan, chan2],
diameter=diam_labels)[0]

Could you pls check?