Ethon Lin
Ethon Lin
About
- Username
- Ethon Lin
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- Member, ModeratorsKL520, ModeratorsKL720, ModeratorsAIModel
Comments
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Hi Ellen, 抱歉你所提供的截圖解析度太差沒辦法清楚的看到裡面的資訊，不知道你是否方便直接提供你的epxxx.h5讓我們確認?
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Yes, the python-api is a way to simulate the inference result on KL520/ KL720. You can just print the inference result in your screen as following or save it to a specific file. https://www.kneron.com/forum/uploads/820/9IRTTKERXGPR.jpg
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No, KL520 is controlled through the cortex M4 which is 32 bit architecture.
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Is the above message complete? There should be more message whether you encountered an error or not. Or maybe you could provide your model.onnx to make the issue checking becomes easier.
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看起來應該是哪邊有損壞，詳細的錯誤可能要進廠做分析才能了解，我們將會協助你進行換貨流程 還請你寫信至 Kneo.marketplace@kneron.us 並提供聯絡方式以及說明購買時間、地點、簡單的描述錯誤現象，將會有專人協助你相關程序，謝謝。
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Hi, The latest version of toolchain just update the opset from 9 to 11, if you want to run in the latest version, please use the python script "/workspace/libs/ONNX_Convertor/optimizer_scripts/onnx1_4to1_6.py" to upgrade the opset version.…
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請問一下，在執行後完整訊息應該會包含SCPU與NCPU，如下 update SCPU firmware from file ../../app_binaries/KL520/kdp2//fw_scpu.bin update SCPU firmware OK update NCPU firmware from file ../../app_binaries/KL520/kdp2//fw_ncpu.bin update NCPU firmware OK …
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The error message means the onnx version is too new to complete the toolchain flow. Please use Netron to open the model.onnx and click the input layer to make sure the format is "ONNX v4". https://www.kneron.com/forum/uploads/473/OBO2U36TH…
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I think the issue could be coursed by the old version bug, please update to the latest version and try it again. Please refer to Toolchain Manual http://doc.kneron.com/docs/#toolchain/manual/ to pull the latest version of toolchain. Download the lat…
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Except the opset = 9, there are still some version condition in toolchain. Toolchain use the pytorch v1.2 and onnx version 1.4. If you want to use a higher version pytorch to export onnx file, please make sure the ir_version is 4. We will support hi…
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Actually, the radix with your setting is 8. There are different radix in each layer, and the radix: 2 in log means the radix of last layer. Please disregard the number. In your case, you set the parameters "img_preprocess_method": "k…
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Hi Jerome, The latest version of toolchain is v0.12.1, you can convert and compile the model yolov3 on it. Please refer to the instruction manual. (http://doc.kneron.com/docs/#toolchain/manual_520/ ) The toolchain only supports opset = 9 now, optset…
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https://www.kneron.com/forum/discussion/comment/144#Comment_144 Hi WenTzu, What kind of image format are you using? General format like jpg and png are usable. Or could you post your json setting and onnx to clarify the issue?
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Hi Jerome, There are some version condition in toolchain. Take pytorch as an example, please check the version are "pytorch = 1.4" and "onnx = 1.4" . When export model to onnx from pytorch, make sure the opset version equals 9. Y…
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Hi Alfred, 看過你的模型後，有幾個KL520不支援的地方需要請你修改模型，請參考下面步驟 https://www.kneron.com/forum/uploads/051/1L1ZIOX1K1LU.png 模型使用的opset版本為v8(如上圖右側紅圈處所示)，但KL520目前僅支援v9，還請在轉成onnx時選擇v9 KL520並不直接支…
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是的，需先將模型轉成KL520專用的*.nef (舊版的範例中為*.bin) 後才可在KL520上運行，轉換的方式可以參照文件中心http://doc.kneron.com/docs/#toolchain/manual_520/ 的說明 成功將模型轉換成.onnx後，請繼續參照 3.2 FpAnalyser, Compiler and IpEvaluator 的指示依…
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Yes, that's what I'm getting at. If you want to get the same model result, please calculate the layer softmax with the inf_res from kdp_dme_retrieve_res(), the prediction scale should be normalized after implement softmax.
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The score range of final prediction should be the same as your original model. And there is usually a layer "softmax" in the end of MobileNetV1, but KL520 doesn't support "softmax". So I believe that "softmax" was be r…
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The hardware structure is using RGBA8888 for 4 channels, but if you use the input format RGB565, you will get better accuracy with the model trained by image RGB565. And for better accuracy, there are two ways you can try. Modify the parameter NPU_…
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Here is the format of RGBA8888, please check whether your data format is correct. https://www.kneron.com/forum/uploads/518/C2O5P2QAWFAH.png And may I ask your setting "img_preprocess_method" of input_params.json in toolchain?
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Hi Paolo, The issue was caused by the scpu fw error with the binary fw_scpu.bin in folder age_gender. Please copy the "fw_scpu.bin" in /host_lib_v0.9.0-early/app_binaries/KL520/tiny_yolo_v3 into /host_lib_v0.9.0-early/app_binaries/KL520/o…
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Hi Paolo, Yes, now the App. age_gender only returns result with the face which is the highest score. If you just want to detect where the faces are, please refer to the example ssd_fd and you can get result with all the faces.
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If you worry about the data loss by format transferring, you can try to choose the format NPU_FORMAT_RGBA8888. And to reduce quantization loss during model was transferring to fixed-point structure, make sure there are over 100 images in the folder…
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Due to the NPU structure, the length of width should be round up to 16, and there should be 6 floating(4bytes) head numbers in the forefront of the output array. In your case, the total length should be 6 * 4 + 3 * round_up16(1) = 72 …
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Thanks for your suggestion. We will make modification to it.
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Due to the "inf_size" = 0, kdp_dme_retrieve_res could not get correct length to receive result data. Refer to the return value of api.kdp_dme_inference below: ( You can find it in __init__.py of kdp_host_api) return ret, inf_size_p…
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For business policy, we no longer provide full application code of "age_gender" for free. But you can still find the model binaries in host_lib example (\host_lib_v0.9.0-early\app_binaries\KL520\age_gender). (Download host_lib_v0.9.0-early…
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Yes, if the inference process is done, there should be some results whether it's right or wrong. Could you mind to provide your model binaries and python example code to check the issue?
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Kneron provided firmware sdk for all KL520 device. Please download SDK from Development Center (https://www.kneron.com/tw/support/developers/) or get sdk v1.3 from following link. https://www.kneron.com/tw/support/developers/?folder=KL520%20SDK/&…
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Due to some reasons, here are few operations that we are recommended you to try. Update the fw binaries in \host_lib__v0.8\app_binaries\tiny_yolo_v3: The fw and host_lib should be match to ensure the function works, and we're recommended to use th…