Comments (8)
hgaiser
commented on July 28, 2024
The output is already instance aware.
…On Wed, 20 Jun 2018, 18:07 pGit1, ***@***.***> wrote:
Hi thank you for all of your help. I have successfully tested the example
you provide in the code on my own data and it works REALLY well!
Is there a way to get the output to be instance aware? I think there is I
am just wondering if it means modifying the draw_mask function.
from keras_maskrcnn.utils.visualization import draw_mask
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pGit1
commented on July 28, 2024
Should have rephrased my question, it was worded poorly. What I am really asking is how to make masks belonging to different classes have different colors. I may have missed it in the README but could find any info in it.
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hgaiser
commented on July 28, 2024
Ah that is indeed a different question. You can use ,this argument for that.
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pGit1
commented on July 28, 2024
Thank you kind sir!!
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pGit1
commented on July 28, 2024
how do I ask just general questions about implementation. I dont have issues per say but I am wondering how the network actually tries to reproduce the mask ground truth from an array perspective.
As an example in image classification I feed a raw (pre-procd) image into a network and it has a one-hot output that has the same dimension as the number of classes I have. I'm just wondering what the analog is for a ground truth Mask. Makes little sense to me right now!
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hgaiser
commented on July 28, 2024
I've just created a keras-maskrcnn slack channel on the keras-team slack. I
think that is a good location for questions like these.
…On Fri, 22 Jun 2018, 00:03 pGit1, ***@***.***> wrote:
@hgaiser <https://github.com/hgaiser>
how do I ask just general questions about implementation. I dont have
issues per say but I am wondering how the network actually tries to
reproduce the mask ground truth from an array perspective.
As an example in image classification I feed a raw (pre-procd) image into
a network and it has a one-hot output that has the same dimension as the
number of classes I have. I'm just wondering what the analog is for a
ground truth Mask. Makes little sense to me right now!
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<#15 (comment)>,
or mute the thread
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pGit1
commented on July 28, 2024
Thanks!
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pGit1
commented on July 28, 2024
Can you send me the URL for the channel?
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Related Issues (20)
- Class agnostic mask-RCNN HOT 1
- Access regression, classification and masks submodel outputs HOT 1
- which layer to extract feature image as image embedding HOT 2
- Off-by-one rounding error in OID mask resizing HOT 3
- Convert resnet50_coco_v0.2.0.h5 to tensorflow serving
- Is it possible to calculate the Dice loss ? HOT 1
- TypeError: Unexpected keyword argument passed to optimizer: learning_rate
- how to train on TPU? should I migrate keras to tf.keras?
- ModuleNotFoundError: No module named 'keras_retinanet.utils.gpu HOT 5
- AttributeError: 'tuple' object has no attribute 'layer' HOT 1
- Training error regarding retinanet HOT 2
- Config file HOT 1
- Difference between weights and snapshots in your implementation (also w/o freeze model argument) HOT 2
- AttributeError: module 'tensorflow' has no attribute 'config' HOT 1
- No mask output
- Is there any chance to have Keras_MaskRCNN in Tensorflow 2 and compatible with Keras_Retinanet ? HOT 1
- Installation fail HOT 1
- the dimension of inference result was 3 HOT 4
- in detection box[2] < box[0] HOT 3
- Weird losses behaviour HOT 17
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