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```
pip install papermage.[dev,predictors,visualizers]
zsh: no matches found: papermage.[dev,predictors,visualizers]
```
Ubuntu 22.04, Python 3.12.2
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I have trained an object detection model from the tf2 model zoo. I have exported it from a check point to produce a saved model. This leaves me with a saved_model.pb file. When I attempt to load th…
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I replace YoloV3 with EfficientDet(0-7) as detection part. But I found the results are worse than before?The error detection is more frequent with low fps(only 5 in D0). Have someone found some better…
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Hello There,
I recently did transfer-learning on efficientdet and I wanted to convert it into javascript using onnx.js. It worked wonderfully in python, but it failed to work in javascript.
I g…
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I train the model normally using `model_main_tf2.py` passing the pipeline_config_path using the ssd_efficientdet_d0_512x512_coco17_tpu-8.config pipeline config, which refers to the model of efficientd…
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is it possible convert ckpt to tflite quantized
by using model_inspect.py ?
currently I convert
```
python model_inspect.py --runmode=saved_model --model_name=efficientdet-d0 \
--ckpt_pat…
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I use EfficientDet-D0 to train on my own dataset and got poor results. Much worse than even YOLOV3. So I put a simple test to see if the model can overfit with a single datapoint. But it doesn't.
![m…
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I have been monitoring the gpu memory usage (using nvidia-smi) in inference when running efficientdet_test_videos.py on my own webcam.
The numbers seem to be way higher than those in the readme file.…
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I am trying to train an efficientdet-d0 model to output bounding boxes and segmentation with the newly merged code from #599
I am attempting to train COCO from scratch
`python3 main.py --mode t…
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Hi there,
I used an annotated cones dataset. It was annotated using supervisly. Then I used this [repo ](https://github.com/Taeyoung96/Yolo-to-COCO-format-converter) to convert the annotations to C…