Comments (10)
Sure thing. I can't say for sure how good the accuracy is but running on android the results are pretty decent.
The generated file is not quantized, though. Still haven't figured that part out.
detect.zip
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Well the generated file of my own trained model is quantized. Maybe floating point detect file can achieve more accuracy result but slower running speed. If you'd like to train your model, I can offer you some help. By the way, can you send the zip file directly to my email ([email protected])? since downloading file on github is so slow in CN...
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Fixed by training my own model.
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@Sunnycheey I'm having the same problem you had, but I'm more used to working with keras, so the tflite_convert is also not working. Could you please explain how you generated the tflite file, or maybe even share the file itself? Thanks!
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@Sunnycheey I'm having the same problem you had, but I'm more used to working with keras, so the tflite_convert is also not working. Could you please explain how you generated the tflite file, or maybe even share the file itself? Thanks!
Have you solve your problem?
I can share my train process with you simply.
Firstly, you need write a small script to convert wider face database to tfrecord format, then you can train the model and get your own ckpt file. You can learn how to generate tfrecord in here and you can find pre-trained model in here
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Yes, I did fix it. Sorry for not updating.
I didn't train my own model, I followed the method described in the discussion of this issue (#42).
Thanks for replying though 😄
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To be honest, I try the solution decribed in the issue (#42), but I can't figure it out, so I train my own model. The problem is the test result of my own trained model is not as good as this repo. Have you finished the convert? Can you offered the tflite file itself?
Thanks.
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Sorry for deleting the comment. By change TF_OD_API_INPUT_SIZE variable in there from defalut 300 to 512, I solved the problem. I delete the comment since I think the problem is somewhat stupid to ask. The variable name explicitly tell me how to set the input tensor size.
Thanks anyway.
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Related Issues (20)
- Can you share how to do data cleaning?
- No Bounding Boxes HOT 1
- 请教下,正负样本的比例,以及loss的权重?最终训练下来loss的收敛范围?
- Error occur while converting graphdef to .tflite. ConverterError: TOCO failed. See console for info. HOT 2
- Model for Mobilenet v2 HOT 1
- Question about label map HOT 2
- how to increase FPS when using larger gpu memory ?
- Difference in architecture of SSD Mobilenet V1 and this model
- Why does the terminal output a lot of model structure information?
- Not working on tensorflow version 2 HOT 1
- Convert to tensorflow.js format HOT 1
- Models
- 关于训练
- Which pre-trained model is used for training?
- Face Detection on larger distance
- this pb model how convert to tflite? what is the input output arrays? HOT 2
- Problem with detection simple front faces HOT 2
- Can I implement Face Detection in SSD MobileNet keeping the standard coco objects? HOT 1
- I want to use my face detection data set for face model training. My standard face tool is labelme, which is in json format. I saw that many face detection algorithms are based on widerface for training, so I want to know How do I convert my face frame data into widerface format? Thank you
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