Jedi / img_utils.py
MillanK's picture
init
6b98b5d
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",
]