-
Thanks for your contribution.
How to generate grayscale images using JSON files.
Thanks.
-
Hello @weiliu89,
I'd like to train SSD on grayscale images (xray).
Would appreciate your guidance on what I should change in the training code.
Thanks,
Raviv
raviv updated
7 years ago
-
I want to train the model on grayscale images.
Is it only required to change line input_image = Input(shape=(IMAGE_H, IMAGE_W, 3)) to input_image = Input(shape=(IMAGE_H, IMAGE_W, 1)) in step by step …
-
Hello,
Does anyone have any experience in training DetectNet on grayscale images? Any comments in this regard are very much appreciated.
-
Hi, and thanks for this code! I have installed in conda and am running the command:
python main.py --dir assets/test --pipeline roma
Features are extracted, but the matcher fails with:
```
2…
-
Problem Description:
Multiclass classification of facial emotions from grayscale images.
MODELS IMPLEMENTED
Convolutional Neural Network (for baseline model)
MobileNetV2 (for transfer-learning…
-
On Cusom dataset training notebook this line:
```
images = np.array(images)
images = images.astype('float32') / 255.0
```
converts images into `black` If input images are grayscaled.
-
Right now I see that decoding results in a struct with a `Vec`, `height`, `width` and `bands`. However it looks like there is no field for bit depth. Are only 8-bit images supported?
-
##### System information (version)
- OpenCV => 3.1
- Operating System / Platform => Windows 64 Bit
- Compiler => Visual Studio 2015
##### Detailed description
src image: 2000x2000 bmp color image
m…
-
Hi,
I trained a MobileNet model on grayscale Images. I was wondering, what happens under the hood as MobileNet only works with 3 Channel images?
Does the object detection API just repeat the 1-Cha…