I did not successfully compile your code

[wangk98]

Hello, When I run the code of "mode = 'training“, the following error appears.

Do you know how to solve it?

[AlirezaShamsoshoara]

Hello @wangk98, thanks for raising this issue. This case for the plot only works if you train your model with the METRIC parameters:

Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle/training.py

Lines 42 to 52 in 473e289

	METRICS = [
	keras.metrics.TruePositives(name='tp'),
	keras.metrics.FalsePositives(name='fp'),
	keras.metrics.TrueNegatives(name='tn'),
	keras.metrics.FalseNegatives(name='fn'),
	keras.metrics.Accuracy(name='accuracy'),
	keras.metrics.BinaryAccuracy(name='bin_accuracy'),
	keras.metrics.Precision(name='precision'),
	keras.metrics.Recall(name='recall'),
	keras.metrics.AUC(name='auc')
	]

However, in the current version, only, accuracy was used as a metric. Hence, if you make these changes, there won't be any issue:
In plotdata.py, change line#21

Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle/plotdata.py

Line 21 in 473e289

(fig, ax) = plt.subplots(2, 1, figsize=(13, 13))

to this:

(fig, ax) = plt.subplots(1, 1, figsize=(13, 13))

and comment out lines# 34 - 45 (inclusive).

I will make these changes in a new branch and I will submit them. Let me know if there is still any issues.

Good luck!

[wangk98]

Sorry to disturb you again. After I changed it according to the above method, the following error was reported:

Then I change line#21(in plotdata.py) to (fig, ax) = plt.subplots(2, 1, figsize=(13, 13),squezee=False)
the following error was reported:

and I do not know how to solve it

[hyojun-rtdata]

Hello, thank you for you Great research.
I compile your code I have same error.

I changed code and commet lines.

[cryptedwcoder]

@hyojun-rtdata @wangk98 @AlirezaShamsoshoara Did you solve it ?

[MArslan95]

@AlirezaShamsoshoara

Hi I hope you doing well I ran your code In my system while running. I get the val_loss as nan I tried to find the sol but didn't find anything regarding this so please if you know the reason let me know thank you