Fix route layer

README.md

@@ -107,14 +107,14 @@ eval = val2017 (COCO)
 sample = 1920x1080 video
 ```
 
-**NOTE**: Used maintain-aspect-ratio=1 in config_infer file for YOLOv4 (with letter_box=1), YOLOv5 and YOLOR models.
+**NOTE**: Used maintain-aspect-ratio=1 in config_infer file for Darknet (with letter_box=1) and PyTorch models.
 
 #### NMS config
 
 - Eval
 
 ```
-nms-iou-threshold = 0.6 / 0.65 (YOLOv5, YOLOR, YOLOv7 PyTorch) / 0.7 (PP-YOLOE)
+nms-iou-threshold = 0.6 (Darknet) / 0.65 (PyTorch) / 0.7 (Paddle)
 pre-cluster-threshold = 0.001
 topk = 300
 ```
@@ -122,7 +122,7 @@ topk = 300
 - Test
 
 ```
-nms-iou-threshold = 0.45 / 0.7 (PP-YOLOE)
+nms-iou-threshold = 0.45 / 0.7 (Paddle)
 pre-cluster-threshold = 0.25
 topk = 300
 ```

config_infer_primary_yoloV7.txt

@@ -15,7 +15,7 @@ gie-unique-id=1
 process-mode=1
 network-type=0
 cluster-mode=2
-maintain-aspect-ratio=0
+maintain-aspect-ratio=1
 parse-bbox-func-name=NvDsInferParseYolo
 custom-lib-path=nvdsinfer_custom_impl_Yolo/libnvdsinfer_custom_impl_Yolo.so
 engine-create-func-name=NvDsInferYoloCudaEngineGet

nvdsinfer_custom_impl_Yolo/layers/reorg_layer.cpp

@@ -25,14 +25,14 @@ nvinfer1::ITensor* reorgLayer(
     slice1->setName(slice1LayerName.c_str());
 
     nvinfer1::ISliceLayer *slice2 = network->addSlice(
-        *input, nvinfer1::Dims{3, {0, 0, 1}}, nvinfer1::Dims{3, {inputDims.d[0], inputDims.d[1] / 2, inputDims.d[2] / 2}},
+        *input, nvinfer1::Dims{3, {0, 1, 0}}, nvinfer1::Dims{3, {inputDims.d[0], inputDims.d[1] / 2, inputDims.d[2] / 2}},
         nvinfer1::Dims{3, {1, 2, 2}});
     assert(slice2 != nullptr);
     std::string slice2LayerName = "slice2_" + std::to_string(layerIdx);
     slice2->setName(slice2LayerName.c_str());
 
     nvinfer1::ISliceLayer *slice3 = network->addSlice(
-        *input, nvinfer1::Dims{3, {0, 1, 0}}, nvinfer1::Dims{3, {inputDims.d[0], inputDims.d[1] / 2, inputDims.d[2] / 2}},
+        *input, nvinfer1::Dims{3, {0, 0, 1}}, nvinfer1::Dims{3, {inputDims.d[0], inputDims.d[1] / 2, inputDims.d[2] / 2}},
         nvinfer1::Dims{3, {1, 2, 2}});
     assert(slice3 != nullptr);
     std::string slice3LayerName = "slice3_" + std::to_string(layerIdx);

nvdsinfer_custom_impl_Yolo/layers/route_layer.cpp

@@ -46,20 +46,21 @@ nvinfer1::ITensor* routeLayer(
     layers += std::to_string(idxLayers[idxLayers.size() - 1]);
 
     if (concatInputs.size() == 1)
-        return concatInputs[0];
+        output = concatInputs[0];
+    else {
+        int axis = 0;
+        if (block.find("axis") != block.end())
+            axis = std::stoi(block.at("axis"));
+        if (axis < 0)
+            axis = concatInputs[0]->getDimensions().nbDims + axis;
 
-    int axis = 0;
-    if (block.find("axis") != block.end())
-        axis = std::stoi(block.at("axis"));
-    if (axis < 0)
-        axis = concatInputs[0]->getDimensions().nbDims + axis;
-
-    nvinfer1::IConcatenationLayer* concat = network->addConcatenation(concatInputs.data(), concatInputs.size());
-    assert(concat != nullptr);
-    std::string concatLayerName = "route_" + std::to_string(layerIdx);
-    concat->setName(concatLayerName.c_str());
-    concat->setAxis(axis);
-    output = concat->getOutput(0);
+        nvinfer1::IConcatenationLayer* concat = network->addConcatenation(concatInputs.data(), concatInputs.size());
+        assert(concat != nullptr);
+        std::string concatLayerName = "route_" + std::to_string(layerIdx);
+        concat->setName(concatLayerName.c_str());
+        concat->setAxis(axis);
+        output = concat->getOutput(0);
+    }
 
     if (block.find("groups") != block.end())
     {

nvdsinfer_custom_impl_Yolo/yolo.cpp

@@ -304,7 +304,17 @@ NvDsInferStatus Yolo::buildYoloNetwork(std::vector<float>& weights, nvinfer1::IN
         else if (m_ConfigBlocks.at(i).at("type") == "reorg")
         {
             std::string inputVol = dimsToString(previous->getDimensions());
-            previous = reorgLayer(i, m_ConfigBlocks.at(i), previous, &network);
+            if (m_NetworkType.find("yolov2") != std::string::npos) {
+                nvinfer1::IPluginV2* reorgPlugin = createReorgPlugin(2);
+                assert(reorgPlugin != nullptr);
+                nvinfer1::IPluginV2Layer* reorg = network.addPluginV2(&previous, 1, *reorgPlugin);
+                assert(reorg != nullptr);
+                std::string reorglayerName = "reorg_" + std::to_string(i);
+                reorg->setName(reorglayerName.c_str());
+                previous = reorg->getOutput(0);
+            }
+            else
+                previous = reorgLayer(i, m_ConfigBlocks.at(i), previous, &network);
             assert(previous != nullptr);
             std::string outputVol = dimsToString(previous->getDimensions());
             tensorOutputs.push_back(previous);

utils/gen_wts_yoloV7.py

@@ -135,7 +135,8 @@ class Layers(object):
         self.fc.write('[net]\n' +
                       'width=%d\n' % self.width +
                       'height=%d\n' % self.height +
-                      'channels=3\n')
+                      'channels=3\n' +
+                      'letter_box=1\n')
 
     def reorg(self):
         self.blocks[self.current] += 1