Spaces:
Running
on
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Running
on
T4
liuyizhang
commited on
Commit
•
6061d17
1
Parent(s):
8dd1f66
update app.py
Browse files
GroundingDINO/groundingdino/datasets/transforms.py
CHANGED
@@ -10,8 +10,8 @@ import torch
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import torchvision.transforms as T
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import torchvision.transforms.functional as F
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from
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from
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def crop(image, target, region):
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import torchvision.transforms as T
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import torchvision.transforms.functional as F
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from GroundingDINO.groundingdino.util.box_ops import box_xyxy_to_cxcywh
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from GroundingDINO.groundingdino.util.misc import interpolate
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def crop(image, target, region):
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GroundingDINO/groundingdino/models/GroundingDINO/groundingdino.py
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@@ -23,8 +23,8 @@ from torch import nn
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from torchvision.ops.boxes import nms
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from transformers import AutoTokenizer, BertModel, BertTokenizer, RobertaModel, RobertaTokenizerFast
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from
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from
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NestedTensor,
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accuracy,
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get_world_size,
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@@ -33,9 +33,9 @@ from Grounding_DINO.groundingdino.util.misc import (
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is_dist_avail_and_initialized,
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nested_tensor_from_tensor_list,
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)
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from
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from
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from ..registry import MODULE_BUILD_FUNCS
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from .backbone import build_backbone
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from torchvision.ops.boxes import nms
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from transformers import AutoTokenizer, BertModel, BertTokenizer, RobertaModel, RobertaTokenizerFast
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from GroundingDINO.groundingdino.util import box_ops, get_tokenlizer
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from GroundingDINO.groundingdino.util.misc import (
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NestedTensor,
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accuracy,
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get_world_size,
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is_dist_avail_and_initialized,
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nested_tensor_from_tensor_list,
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)
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from GroundingDINO.groundingdino.util.utils import get_phrases_from_posmap
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from GroundingDINO.groundingdino.util.visualizer import COCOVisualizer
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from GroundingDINO.groundingdino.util.vl_utils import create_positive_map_from_span
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from ..registry import MODULE_BUILD_FUNCS
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from .backbone import build_backbone
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app.py
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@@ -1,20 +1,14 @@
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import subprocess, os, sys
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# result = subprocess.run(['pip', 'install', '-e', 'segment_anything'], check=True)
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# print(f'liuyz_install segment_anything result = {result}')
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sys.path.insert(0, './Grounding_DINO')
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# result = subprocess.run(['pip', 'install', '-e', 'Grounding_DINO'], check=True)
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# print(f'liuyz_install Grounding_DINO result = {result}')
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result = subprocess.run(['pip', 'list'], check=True)
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print(f'
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if not os.path.exists('./sam_vit_h_4b8939.pth'):
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result = subprocess.run(['wget', 'https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth'], check=True)
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print(f'
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import gradio as gr
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@@ -26,11 +20,11 @@ import torch
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from PIL import Image, ImageDraw, ImageFont
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# Grounding DINO
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import
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from
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from
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# segment anything
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from segment_anything import build_sam, SamPredictor
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import subprocess, os, sys
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sys.path.insert(0, './GroundingDINO')
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result = subprocess.run(['pip', 'list'], check=True)
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print(f'pip list result = {result}')
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if not os.path.exists('./sam_vit_h_4b8939.pth'):
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result = subprocess.run(['wget', 'https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth'], check=True)
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print(f'wget sam_vit_h_4b8939.pth result = {result}')
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import gradio as gr
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from PIL import Image, ImageDraw, ImageFont
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# Grounding DINO
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import GroundingDINO.groundingdino.datasets.transforms as T
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from GroundingDINO.groundingdino.models import build_model
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from GroundingDINO.groundingdino.util import box_ops
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from GroundingDINO.groundingdino.util.slconfig import SLConfig
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from GroundingDINO.groundingdino.util.utils import clean_state_dict, get_phrases_from_posmap
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# segment anything
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from segment_anything import build_sam, SamPredictor
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outputs/grounding_dino_output.jpg
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Binary file (78.1 kB)
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outputs/raw_image.jpg
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Binary file (44.8 kB)
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