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AIWintermuteAI / aXeleRate

Keras-based framework for AI on the Edge
MIT License
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Fatal: Invalid dataset, file size should be 602112B, but got 1806336B #18

Closed gemaizi closed 4 years ago

gemaizi commented 4 years ago

Two moth ago I train a classifier model and it works well, but today I retrain the same model using same dataset , get an error: Fatal: Invalid dataset, file size should be 602112B, but got 1806336B I dont konw why conver to k210 model get this error, 1806336B is three times of 602112B

gemaizi commented 4 years ago

By the way today i use the new github code!

gemaizi commented 4 years ago

the detector model works well, only classifier model get this error

AIWintermuteAI commented 4 years ago

Yes, recently converter code was updated to support proper data preprocessing. What is the structure of your dataset?

gemaizi commented 4 years ago

Yes, recently converter code was updated to support proper data preprocessing. What is the structure of your dataset?

struct of dataset: five folders name "annimal", "guitar","flower","house","plane" each folder contains some jpg images , the shape(width and height) of each image is different, the only difference between the detector images and classifier images is that the detector images is the same shape, all are 640*480!

AIWintermuteAI commented 4 years ago

Different image size shouldn't present a problem, since it resizes images before calibration automatically to the network input size. I just checked on my local computer, everything seems to be normal. Are you running locally or in Colab? If you're use aXeleRate on local computer, can you run https://github.com/AIWintermuteAI/aXeleRate/blob/master/tests_training_and_inference.py this script and see if there are any errors?

gemaizi commented 4 years ago

Different image size shouldn't present a problem, since it resizes images before calibration automatically to the network input size. I just checked on my local computer, everything seems to be normal. Are you running locally or in Colab? If you're use aXeleRate on local computer, can you run https://github.com/AIWintermuteAI/aXeleRate/blob/master/tests_training_and_inference.py this script and see if there are any errors?

i use use aXeleRate on local compute(ubuntu18.04), i will try your script to see what happend, thanks!

gemaizi commented 4 years ago

Different image size shouldn't present a problem, since it resizes images before calibration automatically to the network input size. I just checked on my local computer, everything seems to be normal. Are you running locally or in Colab? If you're use aXeleRate on local computer, can you run https://github.com/AIWintermuteAI/aXeleRate/blob/master/tests_training_and_inference.py this script and see if there are any errors?

i run the script and it can generate the kmodel but finally have some error:

  1. Import graph...
  2. Optimize Pass 1...
  3. Optimize Pass 2...
  4. Quantize... 4.1. Add quantization checkpoints... 4.2. Get activation ranges... Plan buffers... Run calibration... [==================================================] 100% 5.364s 4.5. Quantize graph...
  5. Lowering...
  6. Generate code... Plan buffers... Emit code... Main memory usage: 109200 B

SUMMARY INPUTS 0 Input_0 1x3x240x320 OUTPUTS 0 dense_1/Softmax 1x5 0 Folder projects/classifier/2020-07-13_18-00-27/Inference_results is created. Classifier Loading pre-trained weights for the whole model: projects/classifier/2020-07-13_18-00-27/Classifier_best_val_accuracy.h5 (227, 300, 3) Traceback (most recent call last): File "tests_training_and_inference.py", line 127, in setup_inference(item,model_path) File "/home/mgl/aXeleRate/axelerate/infer.py", line 98, in setup_inference cv2.putText(orig_image, "{}:{:.2f}".format(img_class[0], prob[0]), (10,30), font, orig_image.shape[1]/700 , (0, 0, 255), 2, True) TypeError: Argument 'lineType' must be integer, not bool

AIWintermuteAI commented 4 years ago

Okay, so at least the model is converted properly. The error has something to do with opencv - what version of opencv are you using? For your original problem, Fatal: Invalid dataset, file size should be 602112B, but got 1806336B --- will you be willing to share your dataset or part of it(that you can confirm causing the problem) in private message? Or openly, if your dataset is not confidential.

gemaizi commented 4 years ago

Okay, so at least the model is converted properly. The error has something to do with opencv - what version of opencv are you using? For your original problem, Fatal: Invalid dataset, file size should be 602112B, but got 1806336B --- will you be willing to share your dataset or part of it(that you can confirm causing the problem) in private message? Or openly, if your dataset is not confidential.

opencv version is 4.3.0.36 , what is your email address? i will send you my datasets.

gemaizi commented 4 years ago

file is too large(180mb),github can not upload

AIWintermuteAI commented 4 years ago

Can you try 4.2.0.34? dmitrywat@gmail.com - alternatively you can share on google drive

gemaizi commented 4 years ago

Can you try 4.2.0.34? dmitrywat@gmail.com - alternatively you can share on google drive

i will try 4.2.0.34

here is my datasets goole drive link,: https://drive.google.com/file/d/1BBYCTtd8-nva5WtM2KheysB3xdhwirWb/view?usp=sharing

AIWintermuteAI commented 4 years ago

Found the issue, please change https://github.com/AIWintermuteAI/aXeleRate/blob/cf365c2ed9f51b39d48f104ebc43c72a0fd697d8/axelerate/networks/common_utils/convert.py#L80 to with open(os.path.join(temp_folder, bin_filename), "wb") as f:

Should work fine after that! I'll fix it in the next commit. Also, since you have a lot of images in validation dataset, you can change https://github.com/AIWintermuteAI/aXeleRate/blob/cf365c2ed9f51b39d48f104ebc43c72a0fd697d8/axelerate/networks/common_utils/convert.py#L64 to num_imgs = 200 200 should be enough for proper calibration

gemaizi commented 4 years ago

Found the issue, please change https://github.com/AIWintermuteAI/aXeleRate/blob/cf365c2ed9f51b39d48f104ebc43c72a0fd697d8/axelerate/networks/common_utils/convert.py#L80

to with open(os.path.join(temp_folder, bin_filename), "wb") as f: Should work fine after that! I'll fix it in the next commit. Also, since you have a lot of images in validation dataset, you can change https://github.com/AIWintermuteAI/aXeleRate/blob/cf365c2ed9f51b39d48f104ebc43c72a0fd697d8/axelerate/networks/common_utils/convert.py#L64

to num_imgs = 200 200 should be enough for proper calibration

good!! now it works, thanks!!

AIWintermuteAI commented 4 years ago

Great!