Spaces:
Configuration error
Configuration error
fix package error
Browse files
app.py
CHANGED
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@@ -12,6 +12,9 @@ import urllib.request
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from os import path
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import io
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from contextlib import redirect_stdout, redirect_stderr
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import gradio as gr
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import spaces
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@@ -239,6 +242,61 @@ def build_args_list_for_test(d16_batch_path: str,
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args.extend([flag, str(v)])
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return args
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# ----------------- GRADIO HANDLER -----------------
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@spaces.GPU(duration=600) # 确保 CUDA 初始化在此函数体内
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def gradio_infer(
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@@ -249,6 +307,10 @@ def gradio_infer(
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num_proto, top_k, mem_every, deep_update,
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save_scores, flip, size, reverse
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):
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# 1) 基本校验与临时目录
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if bw_video is None:
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return None, "请上传黑白视频 / Please upload a B&W video."
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from os import path
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import io
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from contextlib import redirect_stdout, redirect_stderr
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import subprocess
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import tempfile
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import importlib
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import gradio as gr
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import spaces
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args.extend([flag, str(v)])
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return args
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# ===== 新增:ZeroGPU 后按需安装 Pytorch-Correlation-extension =====
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_CORR_OK_STAMP = path.join(os.getcwd(), ".corr_ext_installed")
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def ensure_correlation_extension_installed():
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"""
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在 ZeroGPU 分配后调用(位于 @spaces.GPU 函数体内):
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- 若已能 import 或存在本地 stamp,则直接返回
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- 否则执行:
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git clone https://github.com/ClementPinard/Pytorch-Correlation-extension.git
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cd Pytorch-Correlation-extension && python setup.py install && cd ..
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"""
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# 1) 尝试直接导入
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try:
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import spatial_correlation_sampler # noqa: F401
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return
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except Exception:
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pass
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# 2) 之前成功过(打过 stamp)
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if path.exists(_CORR_OK_STAMP):
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return
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repo_url = "https://github.com/ClementPinard/Pytorch-Correlation-extension.git"
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workdir = tempfile.mkdtemp(prefix="corr_ext_")
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repo_dir = path.join(workdir, "Pytorch-Correlation-extension")
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try:
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print("[INFO] Installing Pytorch-Correlation-extension ...")
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# clone
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subprocess.run(
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["git", "clone", "--depth", "1", repo_url],
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cwd=workdir, check=True
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)
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# build & install
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subprocess.run(
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[sys.executable, "setup.py", "install"],
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cwd=repo_dir, check=True
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)
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# 验证
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importlib.invalidate_caches()
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import spatial_correlation_sampler # noqa: F401
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# 打 stamp,避免下次重复
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with open(_CORR_OK_STAMP, "w") as f:
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f.write("ok")
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print("[INFO] Pytorch-Correlation-extension installed successfully.")
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except subprocess.CalledProcessError as e:
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print(f"[WARN] Failed to build/install correlation extension: {e}")
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print("You can still proceed if your pipeline doesn't use it.")
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except Exception as e:
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print(f"[WARN] Correlation extension install check failed: {e}")
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finally:
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# 清理临时目录
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try:
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shutil.rmtree(workdir, ignore_errors=True)
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except Exception:
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pass
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# ----------------- GRADIO HANDLER -----------------
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@spaces.GPU(duration=600) # 确保 CUDA 初始化在此函数体内
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def gradio_infer(
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num_proto, top_k, mem_every, deep_update,
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save_scores, flip, size, reverse
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):
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# <<< ZeroGPU 分配后:按需安装 Pytorch-Correlation-extension >>>
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ensure_correlation_extension_installed()
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# --------------------------------------------------------------
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# 1) 基本校验与临时目录
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if bw_video is None:
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return None, "请上传黑白视频 / Please upload a B&W video."
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