create new llava_captioning filter #48
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Create a new llava_captioning filter |
boomb0om
requested changes
May 14, 2024
llava_captioning.py
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| { | |||
boomb0om
requested changes
May 25, 2024
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76
| resized_width = self.resize if width <= height else self.resize * width // height | ||
| resized_height = self.resize * height // width if width <= height else self.resize | ||
| resized_img = pil_img.resize((resized_width, resized_height)) | ||
| width, height = resized_img.size | ||
| left = (width - self.crop_size_x) // 2 | ||
| top = (height - self.crop_size_y) // 2 | ||
| right = left + self.crop_size_x | ||
| bottom = top + self.crop_size_y | ||
| cropped_image = resized_img.crop((left, top, right, bottom)) |
Contributor
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Это заменяется таким трансформом:
transform = T.Compose([
T.Resize(min_size),
T.CenterCrop(min_size)
])
| self.crop_size_y = crop_size_y | ||
| self.resize = resize | ||
| self.model_path = model_path | ||
| self.prompt = "<|im_start|>system\nAnswer the questions.<|im_end|><|im_start|>user\n<image>\nDescribe this image and its style in a very detailed manner<|im_end|><|im_start|>assistant\n" |
Contributor
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Тут только один промпт и он захардкожен в код( Нужно сделать, чтобы его можно было менять. Посмотри как реализовано в ллаве 1.5
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