add the converted models

examples/fasterrcnn.cpp

@@ -114,7 +114,8 @@ static int detect_fasterrcnn(const cv::Mat& bgr, std::vector<Object>& objects)
     // py-faster-rcnn/models/pascal_voc/ZF/faster_rcnn_alt_opt/faster_rcnn_test.pt
     // https://dl.dropboxusercontent.com/s/o6ii098bu51d139/faster_rcnn_models.tgz?dl=0
     // ZF_faster_rcnn_final.caffemodel
-    fasterrcnn.load_param("ZF_faster_rcnn_final.proto");
+    // the ncnn model https://github.com/nihui/ncnn-assets/tree/master/models
+    fasterrcnn.load_param("ZF_faster_rcnn_final.param");
     fasterrcnn.load_model("ZF_faster_rcnn_final.bin");
 
     // hyper parameters taken from

examples/mobilenetssd.cpp

@@ -41,6 +41,7 @@ static int detect_mobilenet(const cv::Mat& bgr, std::vector<Object>& objects)
 
     // model is converted from https://github.com/chuanqi305/MobileNet-SSD
     // and can be downloaded from https://drive.google.com/open?id=0ByaKLD9QaPtucWk0Y0dha1VVY0U
+    // the ncnn model https://github.com/nihui/ncnn-assets/tree/master/models
     mobilenet.load_param("mobilenet_ssd_voc_ncnn.param");
     mobilenet.load_model("mobilenet_ssd_voc_ncnn.bin");
 

examples/mobilenetv2ssdlite.cpp

@@ -46,6 +46,7 @@ static int detect_mobilenetv2(const cv::Mat& bgr, std::vector<Object>& objects)
 
     // original pretrained model from https://github.com/chuanqi305/MobileNetv2-SSDLite
     // https://github.com/chuanqi305/MobileNetv2-SSDLite/blob/master/ssdlite/voc/deploy.prototxt
+    // the ncnn model https://github.com/nihui/ncnn-assets/tree/master/models
     mobilenetv2.load_param("mobilenetv2_ssdlite_voc.param");
     mobilenetv2.load_model("mobilenetv2_ssdlite_voc.bin");
 

examples/peleenetssd_seg.cpp

@@ -41,6 +41,7 @@ static int detect_peleenet(const cv::Mat& bgr, std::vector<Object>& objects,ncnn
 
     // model is converted from https://github.com/eric612/MobileNet-YOLO
     // and can be downloaded from https://drive.google.com/open?id=1Wt6jKv13sBRMHgrGAJYlOlRF-o80pC0g
+    // the ncnn model https://github.com/nihui/ncnn-assets/tree/master/models
     peleenet.load_param("pelee.param");
     peleenet.load_model("pelee.bin");
 

examples/retinaface.cpp

@@ -248,6 +248,7 @@ static int detect_retinaface(const cv::Mat& bgr, std::vector<FaceObject>& faceob
     // model is converted from
     // https://github.com/deepinsight/insightface/tree/master/RetinaFace#retinaface-pretrained-models
     // https://github.com/deepinsight/insightface/issues/669
+    // the ncnn model https://github.com/nihui/ncnn-assets/tree/master/models
 //     retinaface.load_param("retinaface-R50.param");
 //     retinaface.load_model("retinaface-R50.bin");
     retinaface.load_param("mnet.25-opt.param");

examples/simplepose.cpp

@@ -47,6 +47,7 @@ static int detect_posenet(const cv::Mat& bgr, std::vector<KeyPoint>& keypoints)
     //      pose_net.hybridize()
     //      pose_net.export('pose')
     // then mxnet2ncnn
+    // the ncnn model https://github.com/nihui/ncnn-assets/tree/master/models
     posenet.load_param("pose.param");
     posenet.load_model("pose.bin");
 

examples/squeezenet.cpp

@@ -32,6 +32,7 @@ static int detect_squeezenet(const cv::Mat& bgr, std::vector<float>& cls_scores)
     squeezenet.opt.use_vulkan_compute = true;
 #endif // NCNN_VULKAN
 
+    // the ncnn model https://github.com/nihui/ncnn-assets/tree/master/models
     squeezenet.load_param("squeezenet_v1.1.param");
     squeezenet.load_model("squeezenet_v1.1.bin");
 

examples/squeezenetssd.cpp

@@ -42,6 +42,7 @@ static int detect_squeezenet(const cv::Mat& bgr, std::vector<Object>& objects)
     // original pretrained model from https://github.com/chuanqi305/SqueezeNet-SSD
     // squeezenet_ssd_voc_deploy.prototxt
     // https://drive.google.com/open?id=0B3gersZ2cHIxdGpyZlZnbEQ5Snc
+    // the ncnn model https://github.com/nihui/ncnn-assets/tree/master/models
     squeezenet.load_param("squeezenet_ssd_voc.param");
     squeezenet.load_model("squeezenet_ssd_voc.bin");
 

examples/yolov2.cpp

@@ -42,6 +42,7 @@ static int detect_yolov2(const cv::Mat& bgr, std::vector<Object>& objects)
     // original pretrained model from https://github.com/eric612/MobileNet-YOLO
     // https://github.com/eric612/MobileNet-YOLO/blob/master/models/yolov2/mobilenet_yolo_deploy.prototxt
     // https://github.com/eric612/MobileNet-YOLO/blob/master/models/yolov2/mobilenet_yolo_deploy_iter_80000.caffemodel
+    // the ncnn model https://github.com/nihui/ncnn-assets/tree/master/models
     yolov2.load_param("mobilenet_yolo.param");
     yolov2.load_model("mobilenet_yolo.bin");
 

examples/yolov3.cpp

@@ -42,6 +42,7 @@ static int detect_yolov3(const cv::Mat& bgr, std::vector<Object>& objects)
     // original pretrained model from https://github.com/eric612/MobileNet-YOLO
     // param : https://drive.google.com/open?id=1V9oKHP6G6XvXZqhZbzNKL6FI_clRWdC-
     // bin : https://drive.google.com/open?id=1DBcuFCr-856z3FRQznWL_S5h-Aj3RawA
+    // the ncnn model https://github.com/nihui/ncnn-assets/tree/master/models
     yolov3.load_param("mobilenetv2_yolov3.param");
     yolov3.load_model("mobilenetv2_yolov3.bin");