remove tasks from previous year

assignment_0_3_correspondences_template/matching.py

@@ -5,21 +5,6 @@ import torch.nn.functional as F
 import typing
 
 
-def match_nn(desc1: torch.Tensor, desc2: torch.Tensor):
-    '''Function, which finds nearest neightbors for each vector in desc1.
-    
-    Return:
-        torch.Tensor: indexes of matching descriptors in desc1 and desc2
-        torch.Tensor: L2 desriptor distance
-
-
-    Shape:
-        - Input :math:`(B1, D)`, :math:`(B2, D)`
-        - Output: :math:`(B1, 2)`, :math:`(B1, 1)`
-    '''
-    matches_idxs = torch.arange(0, desc2.size(0)).view(-1, 1).repeat(1, 2)
-    match_dists = torch.zeros(desc2.size(0),1)
-    return matches_idxs, match_dists
 
 
 def match_snn(desc1: torch.Tensor, desc2: torch.Tensor, th: float = 0.8):
@@ -38,39 +23,3 @@ def match_snn(desc1: torch.Tensor, desc2: torch.Tensor, th: float = 0.8):
     matches_idxs = torch.arange(0, desc2.size(0)).view(-1, 1).repeat(1, 2)
     match_dists = torch.zeros(desc2.size(0),1)
     return matches_idxs, match_dists
-
-def match_mnn(desc1: torch.Tensor, desc2: torch.Tensor):
-    '''Function, which finds mutual nearest neightbors for each vector in desc1 and desc2.
-    
-    Return:
-        torch.Tensor: indexes of matching descriptors in desc1 and desc2
-        torch.Tensor: L2 desriptor distance
-
-
-    Shape:
-        - Input :math:`(B1, D)`, :math:`(B2, D)`
-        - Output: :math:`(B3, 2)`, :math:`(B3, 1)` where 0 <= B3 <= min(B1,B2)
-    '''
-    matches_idxs = torch.arange(0, desc2.size(0)).view(-1, 1).repeat(1, 2)
-    match_dists = torch.zeros(desc2.size(0),1)
-    return matches_idxs, match_dists
-
-def match_smnn(desc1: torch.Tensor, desc2: torch.Tensor, th: float = 0.8):
-    '''Function, which finds mutual nearest neightbors for each vector in desc1 and desc2,
-    which satisfy first to second nearest neighbor distance <= th check in both directions. 
-    So, it is intersection of match_mnn(d1,d2), match_snn(d1,d2), match_snn(d2,d1)
-    Resulting distance ratio should be maximum over over distance ratio in both directions
-    
-    Return:
-        torch.Tensor: indexes of matching descriptors in desc1 and desc2
-        torch.Tensor: L2 desriptor distance ratio 1st to 2nd nearest neighbor
-
-
-    Shape:
-        - Input :math:`(B1, D)`, :math:`(B2, D)`
-        - Output: :math:`(B3, 2)`, :math:`(B3, 1)`, where 0 <= B3 <= min(B1, B2)
-    '''
-    matches_idxs = torch.arange(0, desc2.size(0)).view(-1, 1).repeat(1, 2)
-    match_dists = torch.zeros(desc2.size(0),1)
-    return matches_idxs, match_dists
-