(img_path, resize=None, H=None, h=None, w=None, preprocessing='caffe')

(rgbFile1, rgbFile2, HFile1, HFile2, model, device)

(h, w, device, matrix=False)

(image, preprocessing=None)

(image, model, scales=[.5, 1, 2])

(image, preprocessing=None)

(self, model_file=None, use_relu=True, use_cuda=False)

(self)

(pos, scaling_steps=0)

(image1, image2, orgSrc, orgDst)

(src_pts, dst_pts, H1, H2)

( epoch_idx, model, loss_function, optimizer, dataloader, device, log_file, args, trai

(img1, img2, HFile1, HFile2, device)

(pos, scaling_steps=0)

(self, model_file=None, use_cuda=True)

(A)

(A)

(self, image1, image2, central_match)

(image, args, model, device)

(image, model, device)

(model1, model2, rgbFile1, rgbFile2, HFile1, HFile2, device)

(rgbFile, depthFile, pts)

(rgbFile, depthFile, pts)

(pts)

(pts)

(pos, depth)

(descriptors_a, descriptors_b)

(descriptors_a, descriptors_b, k=np.inf)

(l)

(filepath, fig=None, dpi=None)

(R_hat, R)

(self)

(image1, image2, pos1, pos2, batch, idx_in_batch, output, save=False, plot_path="train_viz")

(source, target, transformation)

(source, target, transformation)

(src, trg)

(src, trg)

(self, im1, im2, H, scaling_steps=3)

(self)

(imgs)

(pos1, device, h1, w1)

(self, img1)

(self, img1, min=0, max=360)

(pos, dense_features, return_corners=False)

( model, batch, device, margin=1, safe_radius=4, scaling_steps=3, plot=False, plot_path=None )

()

(l)

( epoch_idx, model, loss_function, optimizer, dataloader, device, log_file, args, train=True, plot_path=

(camera)

(camera)

(depthFile)

(depthFile)

(self, pair_metadata)

(image1, image2, feat1, feat2, matcher="BF")

(img1, img2)

(uv)

( pos1, depth1, intrinsics1, pose1, bbox1, depth2, intrinsics2, pose2, bbox2 )

(qImgs, dImgs)

(self, idx)

(self, idx)

(self, idx)

(self, use_relu=True, use_cuda=True)

(self, edge_threshold=5)

(self)

(self, finetune_feature_extraction=False, use_cuda=True)

(self, soft_local_max_size=3)

(self, base_path, preprocessing, ipr_pref=0.5, train=True, cropSize=256)

(self, base_path, preprocessing, train=True, cropSize=256)

( self, #scene_list_path='megadepth_utils/train_scenes.txt', # scene_info_

(self)

(self)

(self)

(self, batch)

(self, batch)

(self, batch)

(self, batch)

(self, batch)

(self, batch)

(self, batch)

( model, batch, device, margin=1, safe_radius=4, scaling_steps=3, plot=False, plot_path=None )