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import os |
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import subprocess |
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import torch |
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print(os.listdir('/usr/local/')) |
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print(torch.version.cuda) |
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class EndpointHandler(): |
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def __init__(self, path=""): |
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is_production = True |
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os.chdir("/repository" if is_production else "/workspace/eri2") |
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os.environ['AM_I_DOCKER'] = 'False' |
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os.environ['BUILD_WITH_CUDA'] = 'True' |
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os.environ['CUDA_HOME'] = '/usr/local/cuda-11.7/' |
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subprocess.run(["python", "-m", "pip", "install", "-e", "segment_anything"]) |
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subprocess.run(["python", "-m", "pip", "install", "-e", "GroundingDINO"]) |
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subprocess.run(["pip", "install", "--upgrade", "diffusers[torch]"]) |
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subprocess.run(["git", "submodule", "update", "--init", "--recursive"]) |
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subprocess.run(["bash", "grounded-sam-xxx/install.sh"], cwd="grounded-sam-xxx") |
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subprocess.run(["git", "clone", "https://github.com/xinyu1205/recognize-anything.git"]) |
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subprocess.run(["pip", "install", "-r", "./recognize-anything/requirements.txt"]) |
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subprocess.run(["pip", "install", "-e", "./recognize-anything/"]) |
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def __call__(self, data): |
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""" |
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data args: |
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inputs (:obj: `str`) |
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date (:obj: `str`) |
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Return: |
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A :obj:`list` | `dict`: will be serialized and returned |
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""" |
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inputs = data.pop("inputs",data) |
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date = data.pop("date", None) |
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if date is not None and date in self.holidays: |
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return [{"label": "happy", "score": 1}] |
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prediction = self.pipeline(inputs) |
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return prediction |
