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Update app.py
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app.py
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import gradio as gr
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import torch
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import numpy as np
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from detectron2.engine import DefaultPredictor
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from detectron2.config import get_cfg
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from detectron2 import
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from detectron2.
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from PIL import Image
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import sys, os, distutils.core
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sys.path.insert(0, os.path.abspath('./detectron2'))
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import gradio as gr
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import torch, detectron2
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import pandas as pd
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from detectron2.utils.logger import setup_logger
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setup_logger()
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import numpy as np
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# import os, json, cv2, random
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from detectron2 import model_zoo
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from detectron2.engine import DefaultPredictor
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from detectron2.config import get_cfg
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# from detectron2.utils.visualizer import Visualizer
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# from detectron2.data import MetadataCatalog, DatasetCatalog
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import numpy
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# import torch.optim as optim
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import torch.nn as nn
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# from tqdm.notebook import tqdm, trange
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from torchvision import transforms,models #, datasets
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SEED = 1234
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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num_classes = 15
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criterion = nn.CrossEntropyLoss()
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model = models.resnet152(pretrained=True)
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for param in model.parameters():
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param.require_grad = False
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num_ftrs = model.fc.in_features
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model.fc = nn.Linear(num_ftrs, num_classes)
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model = model.to(device)
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