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Hi,
I am training ssdlite on coco2014 with mobilenetv2 as the backbone (see ./config/ssd/ssdlite_mobilenetv2_scratch_600e_coco.py). Only one minor change was made, i.e., I change the samples_per_gp…
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Hi team
I have created a model using the coremltools API. This takes the detections done by a YOLOv5 CNN (https://github.com/ultralytics/yolov5) converted from PyTorch to CoreML and does the follow…
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如题,CPU可运行,NPU报错如下:
> [I 1/ 1 2:17:25.165 ...le-Lite/lite/core/optimizer/optimizer.cc:104 ApplyPasses] == Running pass: xpu_memory_optimize_pass
[I 1/ 1 2:17:25.165 ...le-Lite/lite/core/optimiz…
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Windows10 , tensorflow 1.15.0
I want to trained a tflite model base on `ssdlite_mobilenet_v2_coco_2018_05_09` pretrained model, and this is the resulted [tflite_graph.pb](https://drive.google.com/fil…
wwdok updated
2 years ago
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**Will the performance be influenced or not depends on if the blocked format are used. If there is no blocked format used, then there should not be reorder, the performance drop maybe other reasons.**…
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I have a mmdetection model trained specifically for the instance segmentation task and have in production running on a GPU. I'm using a detectors config to train my model.
I'd like to know what are…
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Hi, thanks for your great work. I tried to train YOLOX-nano on a 2080ti, while I can only set the batch-size as 16 to avoid the OutOfMemoryError. I also tried yolov5 and mobilenetv2-ssdlite and i can …
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Greetings!
I am trying to build a face tracker using:
**OAK D lite camera** for inference of face detection model
**Raspberry pi 3**
**opencv_face_detector_uint8.pb**(modelfile) &
**opencv_face…
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I have two mobile phones, one is XiaoMi (Android 9.0,OpenGL3.1 is Adreno), the other is Huawei (Android 6.0, OpenGL3.1 is Mail). When I run this demo app (Tensor Flow Lite GPU delegate), GPU is faste…
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### System information
- **What is the top-level directory of the model you are using**: `models/research`
- **Have I written custom code (as opposed to using a stock example script provided in Tens…