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### 💡 Your Question
I've read the docs on the [COCO SSD recipe](https://github.com/Deci-AI/super-gradients/blob/master/src/super_gradients/recipes/dataset_params/coco_detection_ssd_lite_mobilenet_v2_…
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Hello,
I am using the model `ssd_mobilenet_v2_fpnlite_035_416_int8.tflite` from [object_detection/pretrained_models/ssd_mobilenet_v2_fpnlite/ST_pretrainedmodel_public_dataset/coco_2017_person/ssd_…
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According to the guidebook, I found codes for object detection within only 10 lines, like
#inference.py in jetson-inference
import jetson.utils
import jetson.inference
input = jetson.utils.video…
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I tried this application and implementation in Android Studio, basically it works well. However, I experienced problems when using a custom SSD model that had been trained and the model used FLOAT32. …
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When requesting info about model instances using Kaggle API, it returns a single result of the latest (current) version. I would expect that the API response will contain all versions.
For example:…
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Hello,
I'm training an object detection model based on a custom dataset and I'm not sure about the way to use transfer learning (i.e. fine tune an already existing model with our data).
I'm fol…
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The command used to run mlperf inference for resnet50 model on ubuntu with rocm is below:
cm run script --tags=run-mlperf,inference \
--model=resnet50 \
--implementation=reference \
--…
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Any chance someone has an SSD Mobilenet onnx model yet?
Are all the operations supported for an SSD?
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Hi peeps,
I have been trying to train a custom model for object detection using this package, i.e flutter_tflite, but have found no success. custom models when ingested into the example app does no…
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I use the inputsize which is 192x192, and the mAP is 0.6. However, using the inputsize of 300x300, the mAP is 0.74. Why this? Can you give me advise?