three bugs from issue#99

easymocap/assignment/associate.py

@@ -18,7 +18,7 @@ def views_from_dimGroups(dimGroups):
 def set_keypoints2d(indices, annots, Pall, dimGroups):
     Vused = np.where(indices!=-1)[0]
     if len(Vused) < 1:
-        return [], [], []
+        return [], [], [], []
     keypoints2d = np.stack([annots[nv][indices[nv]-dimGroups[nv]]['keypoints'].copy() for nv in Vused])
     bboxes = np.stack([annots[nv][indices[nv]-dimGroups[nv]]['bbox'].copy() for nv in Vused])
     Pused = Pall[Vused]
@@ -63,7 +63,7 @@ def simple_associate(annots, affinity, dimGroups, Pall, group, cfg):
                         p = proposal.copy()
                         p[nv] = col
                         proposals_new.append(p)
-                proposals = proposals_new
+                proposals += proposals_new
         results = []
         while len(proposals) > 0:
             proposal = proposals.pop()

easymocap/assignment/criterion.py

@@ -46,7 +46,7 @@ class CritLenTorso(BaseCrit):
         if (keypoints3d[[self.src, self.dst], -1] < self.min_conf).all():
             # low confidence, skip
             return True
-        length = np.linalg.norm(keypoints3d[self.dst] - keypoints3d[self.src])
+        length = np.linalg.norm(keypoints3d[self.dst, :3] - keypoints3d[self.src, :3])
         self.log = '{}: {:.3f}'.format(self.name, length)
         if length < self.min_torso_length or length > self.max_torso_length:
             return False