Comments (1)
hgaiser
commented on July 28, 2024
By default, during training, only horizontal flipping is enabled : https://github.com/fizyr/keras-maskrcnn/blob/master/keras_maskrcnn/bin/train.py#L145, but more options are available.
I've never really experienced much overfitting with retinanet / maskrcnn. Are you experiencing overfitting? The problem with Keras and the early stopping callback is that it depends on a metric. I haven't yet managed to change the mAP computations into a Keras metric. Normally I keep an eye on the mAP during training and select the snapshot with the highest mAP values.
from keras-maskrcnn.
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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from keras-maskrcnn.