From 50e411320563894d411b0c37d37cb16105a908af Mon Sep 17 00:00:00 2001
From: carp <25677564+carp@users.noreply.github.com>
Date: Mon, 13 Jul 2020 13:40:11 -0400
Subject: removing submodule

---
 anime-face-detector/nms/py_cpu_nms.py | 38 -----------------------------------
 1 file changed, 38 deletions(-)
 delete mode 100644 anime-face-detector/nms/py_cpu_nms.py

(limited to 'anime-face-detector/nms/py_cpu_nms.py')

diff --git a/anime-face-detector/nms/py_cpu_nms.py b/anime-face-detector/nms/py_cpu_nms.py
deleted file mode 100644
index 54e7b25..0000000
--- a/anime-face-detector/nms/py_cpu_nms.py
+++ /dev/null
@@ -1,38 +0,0 @@
-# --------------------------------------------------------
-# Fast R-CNN
-# Copyright (c) 2015 Microsoft
-# Licensed under The MIT License [see LICENSE for details]
-# Written by Ross Girshick
-# --------------------------------------------------------
-
-import numpy as np
-
-def py_cpu_nms(dets, thresh):
-    """Pure Python NMS baseline."""
-    x1 = dets[:, 0]
-    y1 = dets[:, 1]
-    x2 = dets[:, 2]
-    y2 = dets[:, 3]
-    scores = dets[:, 4]
-
-    areas = (x2 - x1 + 1) * (y2 - y1 + 1)
-    order = scores.argsort()[::-1]
-
-    keep = []
-    while order.size > 0:
-        i = order[0]
-        keep.append(i)
-        xx1 = np.maximum(x1[i], x1[order[1:]])
-        yy1 = np.maximum(y1[i], y1[order[1:]])
-        xx2 = np.minimum(x2[i], x2[order[1:]])
-        yy2 = np.minimum(y2[i], y2[order[1:]])
-
-        w = np.maximum(0.0, xx2 - xx1 + 1)
-        h = np.maximum(0.0, yy2 - yy1 + 1)
-        inter = w * h
-        ovr = inter / (areas[i] + areas[order[1:]] - inter)
-
-        inds = np.where(ovr <= thresh)[0]
-        order = order[inds + 1]
-
-    return keep
-- 
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