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完善图片压缩功能

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阳春白雪糕
2026-07-28 19:37:05 +08:00
parent 4ab8a8a95b
commit 91706f5232
3 changed files with 91 additions and 84 deletions
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.gitignore
+5
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@@ -0,0 +1,5 @@
venv/
input/
output/
__pycache__/
README.md
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@@ -4,6 +4,7 @@
#### v260717补丁
1. 修改图片压缩文件名
2. 完善图片压缩功能
#### v260717
1. 新增JS音乐播放器（基于Meting-API）
image-compression.py
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@@ -3,118 +3,119 @@ from PIL import Image
import os
import shutil
def get_file_kb(file_path: str) -> float:
"""获取文件大小 KB"""
size_byte = os.path.getsize(file_path)
return size_byte / 1024
SUPPORTED_OUTPUT_FORMATS = ("jpg", "jpeg", "png", "webp")
def compress_to_jpg_loop(
input_path: str,
output_path: str,
min_size_kb: float,
max_size_kb: float,
init_quality: int,
quality_step: int,
min_quality: int,
max_width: int,
max_height: int
):
def get_file_kb(file_path: str) -> float:
return os.path.getsize(file_path) / 1024
def _save_image(img: Image.Image, output_path: str, output_format: str, quality: int):
if output_format == "png":
img.save(output_path, format="PNG", optimize=True, compress_level=9)
elif output_format == "webp":
img.save(output_path, format="WEBP", quality=quality, method=6)
else:
img.save(output_path, format="JPEG", quality=quality, optimize=True)
def compress_to_format_loop(input_path, output_path, min_size_kb, max_size_kb,
init_quality, quality_step, min_quality,
max_width, max_height, output_format):
try:
# None 表示保持输入图片格式。
if output_format is None:
output_format = os.path.splitext(input_path)[1].lower().lstrip(".")
output_format = output_format.lower().lstrip(".")
if output_format not in SUPPORTED_OUTPUT_FORMATS:
raise ValueError(f"不支持的输出格式: {output_format}")
ori_size = get_file_kb(input_path)
print(f"\n原图: {os.path.basename(input_path)} | 大小: {ori_size:.2f} KB")
# 小于阈值，直接复制原图，不压缩
if ori_size < min_size_kb:
shutil.copy2(input_path, output_path)
print(f"✅ 小于{min_size_kb}KB，无需压缩，直接复制")
# INIT_QUALITY=None：不压缩、不缩放；目标格式不同则只做格式转换。
# 小于阈值：同样不压缩、不缩放；目标格式不同则只做格式转换。
if init_quality is None or ori_size < min_size_kb:
if os.path.splitext(input_path)[1].lower().lstrip(".") == output_format:
shutil.copy2(input_path, output_path)
print(f"✅ 小于{min_size_kb}KB，无需压缩，直接复制")
else:
img = Image.open(input_path)
img = _prepare_image(img, output_format)
_save_image(img, output_path, output_format, init_quality)
reason = "INIT_QUALITY=None" if init_quality is None else f"小于{min_size_kb}KB"
print(f"✅ {reason}，不压缩，仅转换为 {output_format}")
return
# 打开图片，处理透明通道
img = Image.open(input_path)
if img.mode in ("RGBA", "P"):
new_img = Image.new("RGB", img.size, (255, 255, 255))
mask = img.split()[-1] if img.mode == "RGBA" else None
new_img.paste(img, mask=mask)
img = new_img
# 等比例缩放
img = _prepare_image(img, output_format)
if max_width and max_height:
img.thumbnail((max_width, max_height))
current_quality = init_quality
# PNG 没有 quality 参数，直接用最高无损压缩保存。
if output_format == "png":
_save_image(img, output_path, output_format, init_quality)
print(f"✅ PNG 已保存 | 输出大小: {get_file_kb(output_path):.2f} KB")
return
quality = init_quality
while True:
img.save(output_path, format="JPEG", quality=current_quality, optimize=True)
_save_image(img, output_path, output_format, quality)
out_size = get_file_kb(output_path)
if out_size <= max_size_kb or current_quality <= min_quality:
print(f"✅ 最终画质 {current_quality} | 输出大小: {out_size:.2f} KB")
if out_size <= max_size_kb or quality <= min_quality:
print(f"✅ 最终画质 {quality} | 输出大小: {out_size:.2f} KB")
break
current_quality -= quality_step
print(f"⚠️ {out_size:.2f}KB > {max_size_kb}KB，降低画质至 {current_quality} 重新压缩")
quality = max(min_quality, quality - quality_step)
print(f"⚠️ {out_size:.2f}KB > {max_size_kb}KB，降低画质至 {quality} 重新压缩")
except Exception as e:
print(f"❌ 处理失败 {input_path}：{str(e)}")
def batch_compress_folder(
input_dir: str,
output_dir: str,
min_kb,
max_kb,
init_q,
q_step,
min_q,
max_w,
max_h
):
def _prepare_image(img, output_format):
has_alpha = "A" in img.getbands() or (img.mode == "P" and "transparency" in img.info)
if output_format in ("jpg", "jpeg"):
if has_alpha:
rgba = img.convert("RGBA")
result = Image.new("RGB", rgba.size, (255, 255, 255))
result.paste(rgba, mask=rgba.getchannel("A"))
return result
return img.convert("RGB")
return img.convert("RGBA" if has_alpha else "RGB")
def batch_compress_folder(input_dir, output_dir, min_kb, max_kb, init_q,
q_step, min_q, max_w, max_h, output_format):
os.makedirs(output_dir, exist_ok=True)
support_ext = (".png", ".jpg", ".jpeg", ".webp", ".bmp")
for filename in os.listdir(input_dir):
file_path = os.path.join(input_dir, filename)
if not filename.lower().endswith(support_ext):
if os.path.isdir(file_path) or not filename.lower().endswith(support_ext):
continue
if os.path.isdir(file_path):
continue
name_no_ext = os.path.splitext(filename)[0]
out_file = os.path.join(output_dir, f"{name_no_ext}.jpg")
compress_to_jpg_loop(
input_path=file_path,
output_path=out_file,
min_size_kb=min_kb,
max_size_kb=max_kb,
init_quality=init_q,
quality_step=q_step,
min_quality=min_q,
max_width=max_w,
max_height=max_h
)
suffix = output_format or os.path.splitext(filename)[1].lstrip(".")
out_file = os.path.join(output_dir, f"{name_no_ext}.{suffix}")
compress_to_format_loop(file_path, out_file, min_kb, max_kb, init_q,
q_step, min_q, max_w, max_h, output_format)
if __name__ == "__main__":
# ==================== 批量配置区（仅需修改这里） ====================
# 输入输出文件夹
INPUT_FOLDER = "./input"
OUTPUT_FOLDER = "./output"
MIN_SIZE_KB = 200 # 小于该KB不压缩
MAX_SIZE_KB = 800 # 超过该KB循环再压
INIT_QUALITY = 75 # 初始画质
QUALITY_STEP = 8 # 每次降低画质数值
MIN_QUALITY = 20 # 最低画质底线
LIMIT_W = 2560 # 不需要缩放填 None
# 首次压缩质量，不压缩填 None
INIT_QUALITY = 75
# 过小不压缩，过大重复压缩
MIN_SIZE_KB = 100
MAX_SIZE_KB = 500
# 重复压缩质量递减及最小值
QUALITY_STEP = 8
MIN_QUALITY = 20
# 更换格式，不转换格式填 None
OUTPUT_FORMAT = "webp"
# 尺寸压缩，不缩放填 None
LIMIT_W = 2560
LIMIT_H = 1440
# ==================================================================
# 仅批量执行，无任何单张代码
batch_compress_folder(
input_dir=INPUT_FOLDER,
output_dir=OUTPUT_FOLDER,
min_kb=MIN_SIZE_KB,
max_kb=MAX_SIZE_KB,
init_q=INIT_QUALITY,
q_step=QUALITY_STEP,
min_q=MIN_QUALITY,
max_w=LIMIT_W,
max_h=LIMIT_H
)
batch_compress_folder(INPUT_FOLDER, OUTPUT_FOLDER, MIN_SIZE_KB, MAX_SIZE_KB,
INIT_QUALITY, QUALITY_STEP, MIN_QUALITY, LIMIT_W,
LIMIT_H, OUTPUT_FORMAT)