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| author | Isabella Gottardi <isabella.gottardi@arm.com> | 2021-10-20 15:52:32 +0100 |
|---|---|---|
| committer | Isabella Gottardi <isabella.gottardi@arm.com> | 2021-10-25 08:51:10 +0000 |
| commit | 79d4154ee071d0e7ef2d1eecdde149d488bb9d8b (patch) | |
| tree | 21c8c0a2bd187a925f28045d4a57e9e4ef05be82 /scripts/py | |
| parent | 14ab8d447c5f12df2ac7fd4217fc0d2005b02dca (diff) | |
| download | ml-embedded-evaluation-kit-79d4154ee071d0e7ef2d1eecdde149d488bb9d8b.tar.gz | |
MLECO-2458 and MLECO-2476 [Fix] VWW IFM quant step
* Changed image->cc conversion to be similar with preprocessing
of img_class and vww models: images are scaled maintaing the
aspect ration and then the centre crop of the correct size
is taken.
* VWW applies input quantization info to the int8 image
(prior converted to [0,1] float range).
* Changed adult_blur to a image without person.
* Fix menu print when selecting a specific ifm to run
(Select message was displayed after typing something)
Change-Id: Ie6cde7ab4835ea842667b87397458a5d32131df3
Diffstat (limited to 'scripts/py')
| -rw-r--r-- | scripts/py/gen_rgb_cpp.py | 23 |
1 files changed, 17 insertions, 6 deletions
diff --git a/scripts/py/gen_rgb_cpp.py b/scripts/py/gen_rgb_cpp.py index 957d2d0..c53fbd7 100644 --- a/scripts/py/gen_rgb_cpp.py +++ b/scripts/py/gen_rgb_cpp.py @@ -70,12 +70,23 @@ def write_individual_img_cc_file(image_filename, cc_filename, header_template_fi gen_time=datetime.datetime.now(), file_name=os.path.basename(image_filename), year=datetime.datetime.now().year) - - original_image.thumbnail(image_size) - delta_w = abs(image_size[0] - original_image.size[0]) - delta_h = abs(image_size[1] - original_image.size[1]) - resized_image = Image.new('RGB', args.image_size, (255, 255, 255, 0)) - resized_image.paste(original_image, (int(delta_w / 2), int(delta_h / 2))) + # IFM size + ifm_width = image_size[0] + ifm_height = image_size[1] + + # Aspect ratio resize + scale_ratio = (float)(max(ifm_width, ifm_height)) / (float)(min(original_image.size[0], original_image.size[1])) + resized_width = (int)(original_image.size[0] * scale_ratio) + resized_height = (int)(original_image.size[1] * scale_ratio) + resized_image = original_image.resize([resized_width,resized_height], Image.BILINEAR) + + # Crop the center of the image + resized_image = resized_image.crop(( + (resized_width - ifm_width) / 2, # left + (resized_height - ifm_height) / 2, # top + (resized_width + ifm_width) / 2, # right + (resized_height + ifm_height) / 2 # bottom + )) # Convert the image and write it to the cc file rgb_data = np.array(resized_image, dtype=np.uint8).flatten() |