最近总是需要可视化模型结果，手动复制图片又慢又麻烦～
核心就是上传图片和文字这两个函数，替换这三个地方就可以实现啦～
SHEET_NAME = "" #子表名称
SPREADSHEET_TOKEN = "" #表格名
HEADERS = {
"Authorization": "Bearer u-eSfStf4a1cvWVkcyX03FHl5gjg11gk2XUgG0ggSy8JcL", #替换为自己的key
"Content-Type": "application/json",
}
import os
import json
import base64
import time
import requests
# 飞书表格配置
SHEET_NAME = "" #子表名称
SPREADSHEET_TOKEN = "" #表格名
IMG_URL = f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SPREADSHEET_TOKEN}/values_image"
TEXT_URL = f"https://open.feishu.cn/open-apis/sheets/v2/spreadsheets/{SPREADSHEET_TOKEN}/values"
HEADERS = {
"Authorization": "Bearer u-eSfStf4a1cvWVkcyX03FHl5gjg11gk2XUgG0ggSy8JcL", #替换为自己的key
"Content-Type": "application/json",
}
def upload_image(image_path, column_index, row_index, max_retries=3):
for attempt in range(max_retries):
try:
with open(image_path, "rb") as f:
fb = f.read()
fb = base64.b64encode(fb).decode("utf-8")
data = {
"range": f"{SHEET_NAME}!{chr(65 + column_index)}{row_index}:{chr(65 + column_index)}{row_index}",
"image": fb,
"name": os.path.basename(image_path),
}
rsp = requests.post(IMG_URL, data=json.dumps(data), headers=HEADERS)
rsp.raise_for_status()
print(f"✅ 上传图片成功: {image_path} -> 行{row_index}, 列{column_index}")
return True
except Exception as e:
print(f"❌ 上传图片失败: {e}（尝试 {attempt + 1}/{max_retries}）")
time.sleep(2)
return False
def upload_text(text, column_index, row_index):
try:
data = {
"valueRange": {
"range": f"{SHEET_NAME}!{chr(65 + column_index)}{row_index}:{chr(65 + column_index)}{row_index}",
"values": [[text]],
}
}
text_rsp = requests.put(TEXT_URL, data=json.dumps(data), headers=HEADERS)
text_rsp.raise_for_status()
print(f"📝 上传文字成功 -> 行{row_index}, 列{column_index}")
return True
except Exception as e:
print(f"❌ 上传文字失败: {e}")
return False
def process_jsonl(jsonl_path, column_img=0, column_txt=1):
start_row = 2
row_index = start_row
with open(jsonl_path, "r", encoding="utf-8") as f:
for line in f:
try:
data = json.loads(line)
image_path = data["image"]
score_text = str(data.get("score", "N/A"))
if not os.path.exists(image_path):
print(f"❌ 缺失图像: {image_path}")
continue
upload_image(image_path, column_img, row_index)
upload_text(score_text, column_txt, row_index)
row_index += 1
except Exception as e:
print(f"❌ 解析失败: {e}")
continue
if __name__ == "__main__":
jsonl_file = "/mnt/data_vlm/jianai/edit_data/image_score.jsonl" # 你自己的 jsonl 路径
process_jsonl(jsonl_file, column_img=6*2, column_txt=6*2 + 1) # 根据表格实际列设置起始列一、建立表格
要注意这个表格只能在"云盘"下新建，否则不能成功，选别的链接里会带有wiki字样
二、获得表格/子表名
会得到这样一个网址。其中
SHEET_NAME = "I0sjZg"
SPREADSHEET_TOKEN = "Em9csSnhQhOKWMtLssectp1FnHe"
如果没有出现子表名字，说明只有一个子表，再新建一个就好了
三、获取鉴权key
如果是公司账户，需要使用个人号，记得给个人账号分享文档的编辑权限。
在这个网址创建一个应用即可，随便填写，然后点击获取key，这个key大概1-2个小时会过期。
