Initial commit.

app.py

@@ -1,5 +1,5 @@
 import gradio as gr
-from src.inference import TableExtractionPipeline
+from inference import TableExtractionPipeline
 
 def image_classifier(inp):
     return {'cat': 0.3, 'dog': 0.7}

src/eval.py → eval.py

@@ -21,7 +21,7 @@ import matplotlib.patches as patches
 from fitz import Rect
 from PIL import Image
 
-sys.path.append("../detr")
+sys.path.append("./detr")
 import util.misc as utils
 from datasets.coco_eval import CocoEvaluator
 import postprocess

src/inference.py → inference.py

@@ -21,7 +21,7 @@ from matplotlib.patches import Patch
 
 from main import get_model
 import postprocess
-sys.path.append("../detr")
+sys.path.append("./detr")
 from models import build_model
 
 class MaxResize(object):

src/main.py → main.py

@@ -12,7 +12,7 @@ import numpy as np
 import torch
 from torch.utils.data import DataLoader
 
-sys.path.append("../detr")
+sys.path.append("./detr")
 from engine import evaluate, train_one_epoch
 from models import build_model
 import util.misc as utils

src/table_datasets.py → table_datasets.py

@@ -16,7 +16,7 @@ from torchvision import transforms
 from torchvision.transforms import functional as F
 
 # Project imports
-sys.path.append("detr")
+sys.path.append("./detr")
 import datasets.transforms as R