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I see no reason why we can't implement object detection into robosat for specific use-cases.
The pre-processing and post-processing needs to be slightly adapted to work with bounding boxes but othe…
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Platform (like ubuntu 16.04/win10): Ubuntu 16.04
Python version: 3.5
Source framework with version (like Tensorflow 1.4.1 with GPU): Tensorflow 1.12 GPU
Destination framework with version (l…
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I use tf 1.14 、GeForce RTX 2080 Ti to train Retinanet.But this training is too slow.Is there a problem with my data?I am not sure.
- [I0710 09:58:11.515571 140230248699648 basic_session_run_hooks.py…
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One takes SUM, one takes NONE. We should unify that before 0.4 release
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Hi,
Following error is getting generated when trying to load the model.
ERROR:
TypeError Traceback (most recent call last)
in ()
8 detector.setModelTypeAsRetinaNet()
9 detector.setModelPat…
Aban8 updated
3 years ago
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```
$ retinanet export weights/retinanet_rn50fpn_4gpus.pth model_fp16.plan --batch 1 --size 1280
Loading model from retinanet_rn50fpn_4gpus.pth...
model: ['ResNet50FPN'] max stride is: 128
…
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I used mtq.INT8_default_CFG as recommended for CNN networks (mtq.quantize(model, config, forward_loop). My initial model ran at 80FPS after quantization it dropped to 40FPS? I checked the model struct…
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Hi,
My own dataset for used Resnet50 backbone model. But run train.py by implementation error:
File "/Users/servercalap/tf-retinanet-master/tf_retinanet/bin/../../tf_retinanet/utils/__init__.py"…
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I'm using a custom dataset in CoCo format. I have tried a small learning rate, but it is useless.But my dataset can be trained on Faster RCNN and Centernet (In order to save energy, I directly modifie…
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I am using *fgd_retina_r101_fpn_2x_distill_retina_r50_fpn_2x_coco.py* to distill Retinanet-r101 **(Using my own CoCo formatted)** with mAP 0.75 but my Retinanet-r50 mAP significantly drops to 0.58. I …