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on
Zero
Running
on
Zero
import math | |
from typing import List, Union, Dict, Any | |
def round_by_factor(number: int, factor: int) -> int: | |
"""返回最接近 number 的且能被 factor 整除的整数""" | |
return round(number / factor) * factor | |
def ceil_by_factor(number: int, factor: int) -> int: | |
"""返回大于等于 number 的且能被 factor 整除的整数""" | |
return math.ceil(number / factor) * factor | |
def floor_by_factor(number: int, factor: int) -> int: | |
"""返回小于等于 number 的且能被 factor 整除的整数""" | |
return math.floor(number / factor) * factor | |
def smart_resize(height, width, factor=28, min_pixels=56 * 56, max_pixels=14 * 14 * 4 * 1280, max_long_side=8192): | |
"""缩放后图片满足以下条件: | |
1. 长宽能被 factor 整除 | |
2. pixels 总数被限制在 [min_pixels, max_pixels] 内 | |
3. 最长边限制在 max_long_side 内 | |
4. 保证其长宽比基本不变 | |
""" | |
if height < 2 or width < 2: | |
raise ValueError(f"height:{height} or width:{width} must be larger than factor:{factor}") | |
elif max(height, width) / min(height, width) > 200: | |
raise ValueError(f"absolute aspect ratio must be smaller than 100, got {height} / {width}") | |
if max(height, width) > max_long_side: | |
beta = max(height, width) / max_long_side | |
height, width = int(height / beta), int(width / beta) | |
h_bar = round_by_factor(height, factor) | |
w_bar = round_by_factor(width, factor) | |
if h_bar * w_bar > max_pixels: | |
beta = math.sqrt((height * width) / max_pixels) | |
h_bar = floor_by_factor(height / beta, factor) | |
w_bar = floor_by_factor(width / beta, factor) | |
elif h_bar * w_bar < min_pixels: | |
beta = math.sqrt(min_pixels / (height * width)) | |
h_bar = ceil_by_factor(height * beta, factor) | |
w_bar = ceil_by_factor(width * beta, factor) | |
return h_bar, w_bar | |
def update_image_size_(image_ele: dict, min_tokens=1, max_tokens=12800, merge_base=2, patch_size=14): | |
"""根据 min_tokens, max_tokens 更新 image_ele 的尺寸信息 | |
Args: | |
image_ele (dict): | |
- image_ele["image"]: str 图片路径 | |
- image_ele["height"]: int 图片原始高度 | |
- image_ele["width"]: int 图片原始宽度 | |
Returns: | |
更新后的 image_ele, 新增如下 key-value pair | |
dict: | |
- image_ele["resized_height"]: int 输入到模型的真实高度 | |
- image_ele["resized_width"]: int 输入到模型的真实宽度 | |
- image_ele["seq_len"]: int 输入到模型所占的序列长度 | |
""" | |
height, width = image_ele["height"], image_ele["width"] | |
pixels_per_token = patch_size * patch_size * merge_base * merge_base | |
resized_height, resized_width = smart_resize( | |
height, | |
width, | |
factor=merge_base * patch_size, | |
min_pixels=pixels_per_token * min_tokens, | |
max_pixels=pixels_per_token * max_tokens, | |
max_long_side=50000, | |
) | |
image_ele.update( | |
{ | |
"resized_height": resized_height, | |
"resized_width": resized_width, | |
"seq_len": resized_height * resized_width // pixels_per_token + 2, | |
} | |
) | |
return image_ele | |
def _convert_bbox_format_from_abs_origin(bbox, image_ele: dict, *, tgt_format: str): | |
x1, y1, x2, y2 = bbox | |
if tgt_format == "abs_origin": | |
new_bbox = [int(x1), int(y1), int(x2), int(y2)] | |
elif tgt_format == "abs_resized": | |
new_bbox = [ | |
int(x1 / image_ele["width"] * image_ele["resized_width"]), | |
int(y1 / image_ele["height"] * image_ele["resized_height"]), | |
int(x2 / image_ele["width"] * image_ele["resized_width"]), | |
int(y2 / image_ele["height"] * image_ele["resized_height"]), | |
] | |
elif tgt_format == "qwen-vl": | |
new_bbox = [ | |
int(x1 / image_ele["width"] * 999), | |
int(y1 / image_ele["height"] * 999), | |
int(x2 / image_ele["width"] * 999), | |
int(y2 / image_ele["height"] * 999), | |
] | |
elif tgt_format == "rel": | |
new_bbox = [ | |
float(x1 / image_ele["width"]), | |
float(y1 / image_ele["height"]), | |
float(x2 / image_ele["width"]), | |
float(y2 / image_ele["height"]), | |
] | |
elif tgt_format == "molmo": | |
new_bbox = [ | |
round(x1 / image_ele["width"] * 100, ndigits=1), | |
round(y1 / image_ele["height"] * 100, ndigits=1), | |
round(x2 / image_ele["width"] * 100, ndigits=1), | |
round(y2 / image_ele["height"] * 100, ndigits=1), | |
] | |
else: | |
assert False, f"Unknown tgt_format: {tgt_format}" | |
return new_bbox | |
def _convert_bbox_format_to_abs_origin(bbox, image_ele: dict, *, src_format: str): | |
x1, y1, x2, y2 = bbox | |
if src_format == "abs_origin": | |
new_bbox = [int(x1), int(y1), int(x2), int(y2)] | |
elif src_format == "abs_resized": | |
new_bbox = [ | |
int(x1 / image_ele["resized_width"] * image_ele["width"]), | |
int(y1 / image_ele["resized_height"] * image_ele["height"]), | |
int(x2 / image_ele["resized_width"] * image_ele["width"]), | |
int(y2 / image_ele["resized_height"] * image_ele["height"]), | |
] | |
elif src_format == "qwen-vl": | |
new_bbox = [ | |
int(x1 / 999 * image_ele["width"]), | |
int(y1 / 999 * image_ele["height"]), | |
int(x2 / 999 * image_ele["width"]), | |
int(y2 / 999 * image_ele["height"]), | |
] | |
elif src_format == "rel": | |
new_bbox = [ | |
int(x1 * image_ele["width"]), | |
int(y1 * image_ele["height"]), | |
int(x2 * image_ele["width"]), | |
int(y2 * image_ele["height"]), | |
] | |
elif src_format == "molmo": | |
new_bbox = [ | |
int(x1 / 100 * image_ele["width"]), | |
int(y1 / 100 * image_ele["height"]), | |
int(x2 / 100 * image_ele["width"]), | |
int(y2 / 100 * image_ele["height"]), | |
] | |
else: | |
assert False, f"Unknown src_format: {src_format}" | |
return new_bbox | |
def convert_bbox_format(bbox, image_ele: dict, *, src_format: str, tgt_format: str): | |
bbox_abs_origin = _convert_bbox_format_to_abs_origin(bbox, image_ele, src_format=src_format) | |
bbox_tgt_format = _convert_bbox_format_from_abs_origin(bbox_abs_origin, image_ele, tgt_format=tgt_format) | |
return bbox_tgt_format | |
def _convert_point_format_from_abs_origin(point, image_ele: dict, *, tgt_format: str): | |
x, y = point | |
if tgt_format == "abs_origin": | |
new_point = [int(x), int(y)] | |
elif tgt_format == "abs_resized": | |
new_point = [ | |
int(x / image_ele["width"] * image_ele["resized_width"]), | |
int(y / image_ele["height"] * image_ele["resized_height"]), | |
] | |
elif tgt_format == "qwen-vl": | |
new_point = [ | |
int(x / image_ele["width"] * 999), | |
int(y / image_ele["height"] * 999), | |
] | |
elif tgt_format == "rel": | |
new_point = [ | |
float(x / image_ele["width"]), | |
float(y / image_ele["height"]), | |
] | |
elif tgt_format == "molmo": | |
new_point = [ | |
round(x / image_ele["width"] * 100, ndigits=1), | |
round(y / image_ele["height"] * 100, ndigits=1), | |
] | |
else: | |
assert False, f"Unknown tgt_format: {tgt_format}" | |
return new_point | |
def _convert_point_format_to_abs_origin(point, image_ele: dict, *, src_format: str): | |
x, y = point | |
if src_format == "abs_origin": | |
new_point = [int(x), int(y)] | |
elif src_format == "abs_resized": | |
new_point = [ | |
int(x / image_ele["resized_width"] * image_ele["width"]), | |
int(y / image_ele["resized_height"] * image_ele["height"]), | |
] | |
elif src_format == "qwen-vl": | |
new_point = [ | |
int(x / 999 * image_ele["width"]), | |
int(y / 999 * image_ele["height"]), | |
] | |
elif src_format == "rel": | |
new_point = [ | |
int(x * image_ele["width"]), | |
int(y * image_ele["height"]), | |
] | |
elif src_format == "molmo": | |
new_point = [ | |
int(x / 100 * image_ele["width"]), | |
int(y / 100 * image_ele["height"]), | |
] | |
else: | |
assert False, f"Unknown src_format: {src_format}" | |
return new_point | |
def convert_point_format(point, image_ele: dict, *, src_format: str, tgt_format: str): | |
point_abs_origin = _convert_point_format_to_abs_origin(point, image_ele, src_format=src_format) | |
point_tgt_format = _convert_point_format_from_abs_origin(point_abs_origin, image_ele, tgt_format=tgt_format) | |
return point_tgt_format | |
__all__ = [ | |
"update_image_size_", | |
"convert_bbox_format", | |
"convert_point_format", | |
] |