32 lines
1.2 KiB
Python
32 lines
1.2 KiB
Python
#####################################################
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# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2020.06 #
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#####################################################
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# python exps/experimental/test-resnest.py
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#####################################################
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import sys, time, torch, random, argparse
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from PIL import ImageFile
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ImageFile.LOAD_TRUNCATED_IMAGES = True
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from copy import deepcopy
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from pathlib import Path
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lib_dir = (Path(__file__).parent / ".." / ".." / "lib").resolve()
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if str(lib_dir) not in sys.path:
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sys.path.insert(0, str(lib_dir))
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from utils import get_model_infos
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torch.hub.list("zhanghang1989/ResNeSt", force_reload=True)
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for model_name, xshape in [
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("resnest50", (1, 3, 224, 224)),
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("resnest101", (1, 3, 256, 256)),
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("resnest200", (1, 3, 320, 320)),
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("resnest269", (1, 3, 416, 416)),
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]:
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# net = torch.hub.load('zhanghang1989/ResNeSt', model_name, pretrained=True)
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net = torch.hub.load("zhanghang1989/ResNeSt", model_name, pretrained=False)
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print("Model : {:}, input shape : {:}".format(model_name, xshape))
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flops, param = get_model_infos(net, xshape)
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print("flops : {:.3f}M".format(flops))
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print("params : {:.3f}M".format(param))
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