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It would be valuable to have some mapping functionality which takes `y_true`, `y_pred`, `y_score`, `pred_decision` (output of `estimator.decision_function()`), `x` (`AUC` only), `y` (`AUC` only) and c…
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When I want to train my own data, I meet a problem
Traceback (most recent call last):
File "train.py", line 260, in
train()
File "train.py", line 183, in train
loss_l, loss_c = crit…
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Traceback (most recent call last):
File "train.py", line 261, in
train()
File "train.py", line 184, in train
loss_l, loss_c = criterion(out, targets)
File "/home/sypark/anaconda3/e…
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I am using the same training and validation data in this model:
```
sm.FPN(
backbone,
classes=classes,
input_shape=input_shape,
activation="sigmoid",
…
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i cropped the training images so that the length and width are both 256.
my training code is as follows:
```
classes = {
'inner_distance': 1, # inner distance
'outer_distance': …
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Hi, I am using the following model.
```
# preprocess input
x_train = preprocess_input(x_train)
x_val = preprocess_input(x_val)
# define model
model = Unet(BACKBONE, encoder_weights='imagenet…
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Hi,
I have run your network based on the notbook in a project of mine. However, I pondered quite a bit over my validation Jaccard scores outperforming the training score by a large margin. I suspec…
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One of widely-used metrics for evaluationg the results of a segmentation task is the Jaccard_similarity_coefficients. It is as simple as diving the intersection region over the union region between tw…
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InvalidArgumentError: All dimensions except 3 must match. Input 1 has shape [1 38 53 256] and doesn't match input 0 with shape [1 38 54 512].
I don't understand why the shapes get mismatched. I st…
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Currently, the following list of metrics will raise an error if `str` are provided as labels and that `pos_label` is not defined and needed to compute the metrics:
* `average_precision_score`
* `f…