SegNet-Tutorial

SegNet-Tutorial copied to clipboard

Download Weights link not working

4

Hello, thanks for sharing this repo. Could you please update the link so that the weights can be downloaded? It seems that the links are not working anymore. http://mi.eng.cam.ac.uk/~agk34/resources/SegNet/segnet_weights_driving_webdemo.caffemodel Thank...

befernandezmo

Hello, For the multi-class segmentation, I want to know how to set different levels of the mask in y_train_dir as mask[..., 0], mask[..., 1] ... like that?  Can you...

jtyytim

Hello, I wonder why you used 3x3 convolution when you predicted the last output class. SegNet itself is to speed up, isn't it much faster to use 1x1 convolution? I...

choco9966

Data Label

4

Hello ,I have a queston,Did you give the Camvid dataset a total of 12 categories?I output the label and find the output range from 0 to 11.

InstantWindy

hi sir, Kindly suggest software used for labeling multi class camvid dataset and how labelled images converted to annotated masks . How we can do it for custom dataset.

ruchika61

Annotated Data is black

7

I don't get the annotated images. They just appear black ?

arnav2

AttributeError: 'NoneType' object has no attribute 'astype'

3

I0310 14:31:03.640287 7170 net.cpp:761] Ignoring source layer accuracy I0310 14:31:03.640292 7170 net.cpp:761] Ignoring source layer prob Traceback (most recent call last): File "Scripts/webcam_demo.py", line 34, in label_colours = cv2.imread(args.colours).astype(np.uint8) AttributeError:...

wolf943134497

Hi, I managed to train and test the Bayesian SegNet model with the default number of classes on the CamVid dataset (11). Now I'd like to train that on only...

filipovyfusky

KeyError 'argmax" in Scripts/webcam_demo.py

4

Hi, I followed the tutorial and successfully trained and evaluated the model, and the ````test_segmentation_camvid```` is working fine. When I run ````python /home/tom/SegNet/Scripts/webcam_demo.py --model /home/tom/SegNet/Models/segnet_basic_inference.prototxt --weights /home/tom/SegNet/Models/Inference/test_weights.caffemodel --colours /Scripts/camvid12.png```` I...

ThomasLengeling

During my testing, I found that there was always 100% for 0 class and 0% for 1 class in binary case. Actually it's not the problem of code but the...

ecustWallace