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Browse files- demo_dense_visualize.py +0 -21
demo_dense_visualize.py
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import os
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import random
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import torch
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import signal
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import socket
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import sys
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import json
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import torch.nn.functional as F
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import numpy as np
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import argparse
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from pathlib import Path
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import torch.optim as optim
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from torch.cuda.amp import GradScaler
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from lightning_fabric import Fabric
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import utils.loss
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import utils.samp
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import utils.improc
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import utils.misc
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import utils.saveload
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from tensorboardX import SummaryWriter
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import datetime
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import time
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import cv2
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import imageio
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from nets.blocks import InputPadder
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from tqdm import tqdm
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# from pytorch_lightning.callbacks import BaseFinetuning
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from utils.visualizer import Visualizer
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from torchvision.transforms.functional import resize
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import torch
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import requests
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from PIL import Image, ImageDraw
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from transformers import AutoProcessor, AutoModelForCausalLM
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import numpy as np
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torch.set_float32_matmul_precision('medium')
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def run_example(processor, model, task_prompt, image, text_input=None):
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import torch
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import sys
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import torch.nn.functional as F
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import numpy as np
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import utils.loss
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import utils.samp
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import utils.improc
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import utils.misc
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import utils.saveload
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import cv2
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from nets.blocks import InputPadder
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import torch
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from PIL import Image, ImageDraw
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import numpy as np
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torch.set_float32_matmul_precision('medium')
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def run_example(processor, model, task_prompt, image, text_input=None):
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