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/gpu_nms.pyx | 31 -------------------------------
 1 file changed, 31 deletions(-)
 delete mode 100644 anime-face-detector/nms/gpu_nms.pyx

(limited to 'anime-face-detector/nms/gpu_nms.pyx')

diff --git a/anime-face-detector/nms/gpu_nms.pyx b/anime-face-detector/nms/gpu_nms.pyx
deleted file mode 100644
index 55878db..0000000
--- a/anime-face-detector/nms/gpu_nms.pyx
+++ /dev/null
@@ -1,31 +0,0 @@
-# --------------------------------------------------------
-# Faster R-CNN
-# Copyright (c) 2015 Microsoft
-# Licensed under The MIT License [see LICENSE for details]
-# Written by Ross Girshick
-# --------------------------------------------------------
-
-import numpy as np
-cimport numpy as np
-
-assert sizeof(int) == sizeof(np.int32_t)
-
-cdef extern from "gpu_nms.hpp":
-    void _nms(np.int32_t*, int*, np.float32_t*, int, int, float, int)
-
-def gpu_nms(np.ndarray[np.float32_t, ndim=2] dets, np.float thresh,
-            np.int32_t device_id=0):
-    cdef int boxes_num = dets.shape[0]
-    cdef int boxes_dim = dets.shape[1]
-    cdef int num_out
-    cdef np.ndarray[np.int32_t, ndim=1] \
-        keep = np.zeros(boxes_num, dtype=np.int32)
-    cdef np.ndarray[np.float32_t, ndim=1] \
-        scores = dets[:, 4]
-    cdef np.ndarray[np.int64_t, ndim=1] \
-        order = scores.argsort()[::-1]
-    cdef np.ndarray[np.float32_t, ndim=2] \
-        sorted_dets = dets[order, :]
-    _nms(&keep[0], &num_out, &sorted_dets[0, 0], boxes_num, boxes_dim, thresh, device_id)
-    keep = keep[:num_out]
-    return list(order[keep])
-- 
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