Comments (3)
Restored model parameters from model_0827/model.ckpt-20000
step 0
step 100
step 200
step 300
step 400
step 500
step 600
step 700
step 800
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step 1000
step 1100
step 1200
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step 1400
Pixel Accuracy: 0.969
Mean IoU: 0.462
class 0: 0.000
/app/home/deeplab/model.py:338: RuntimeWarning: divide by zero encountered in long_scalars
IoU = TP / (TP + FP + FN)
class 1: 0.000
class 2: 0.000
class 3: 0.000
class 4: 0.000
class 5: 0.000
class 6: 0.000
class 7: 0.000
class 8: 0.000
class 9: 0.000
class 10: 0.000
class 11: 0.000
class 12: 0.000
class 13: 0.000
class 14: 0.000
class 15: 0.000
class 16: 0.000
class 17: 0.000
class 18: 0.000
class 19: 0.000
class 20: 0.000
mIoU: 0.000
from deeplab-v2--resnet-101--tensorflow.
"RuntimeWarning: divide by zero encountered in long_scalars"
Obviously, there is something wrong with your label images.
from deeplab-v2--resnet-101--tensorflow.
First, check that your label images are composed of pixels with integer values between [0,20].
Second, as I used augmented VOC2012 dataset, I don't know whether there are some crucial differences between the original dataset and the augmented one, other than more training images. You may want to check it.
One thing that I'm pretty sure is that using ResNet-101 slim checkpoint is fine and will not cause problems.
from deeplab-v2--resnet-101--tensorflow.
Related Issues (20)
- Optimizer choice: Adam VS SGD HOT 1
- Another dataset HOT 4
- Problem with pre-trained model HOT 1
- Training Cityscapes - Changes in label_utils.py HOT 1
- pretrain model download
- How to process the outline of the object in Segmentation label images? HOT 1
- The problem about paper "Smoothed Dilated Convolutions for Improved Dense Prediction". HOT 1
- Which part of your code corresponds to the CRF in Deeplab V2? HOT 1
- How to predict dynamically from graph HOT 1
- A question about paper "Smoothed Dilated Convolutions for Improved Dense Prediction" HOT 2
- NotFoundError (see above for traceback): Tensor name HOT 3
- only can train 2images HOT 1
- Can I input 6 channel images for training? HOT 2
- how about results(mIoU) on validation set and test set HOT 2
- Hi, could you please implement it on cityscape? HOT 3
- how about the hyperparms of cityscape
- ABOUT BATCHSIZE WHEN TRAINING ON CITYSCAPES HOT 1
- It is OOM. Try reducing input_height and input_width. HOT 1
- resnet101 ------- miou 70.7% HOT 2
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from deeplab-v2--resnet-101--tensorflow.