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Darknet cleanup

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This commit is contained in:
Prasad Ayush Kumar
2026-04-30 14:43:11 +05:30
parent 0dbe5e7c35
commit 5af1571073
15 changed files with 255 additions and 2612 deletions
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modules/dnn/include/opencv2/dnn/dnn.hpp
+2 -30
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@@ -1066,31 +1066,6 @@ CV__DNN_INLINE_NS_BEGIN
ENGINE_ORT=4 //!< Try to use ONNX Runtime wrapper (ONNX only, requires build with WITH_ONNXRUNTIME=ON).
};
/** @brief Reads a network model stored in <a href="https://pjreddie.com/darknet/">Darknet</a> model files.
* @param cfgFile path to the .cfg file with text description of the network architecture.
* @param darknetModel path to the .weights file with learned network.
* @returns Network object that ready to do forward, throw an exception in failure cases.
*/
CV_EXPORTS_W Net readNetFromDarknet(CV_WRAP_FILE_PATH const String &cfgFile, CV_WRAP_FILE_PATH const String &darknetModel = String());
/** @brief Reads a network model stored in <a href="https://pjreddie.com/darknet/">Darknet</a> model files.
* @param bufferCfg A buffer contains a content of .cfg file with text description of the network architecture.
* @param bufferModel A buffer contains a content of .weights file with learned network.
* @returns Net object.
*/
CV_EXPORTS_W Net readNetFromDarknet(const std::vector<uchar>& bufferCfg,
const std::vector<uchar>& bufferModel = std::vector<uchar>());
/** @brief Reads a network model stored in <a href="https://pjreddie.com/darknet/">Darknet</a> model files.
* @param bufferCfg A buffer contains a content of .cfg file with text description of the network architecture.
* @param lenCfg Number of bytes to read from bufferCfg
* @param bufferModel A buffer contains a content of .weights file with learned network.
* @param lenModel Number of bytes to read from bufferModel
* @returns Net object.
*/
CV_EXPORTS Net readNetFromDarknet(const char *bufferCfg, size_t lenCfg,
const char *bufferModel = NULL, size_t lenModel = 0);
/** @brief Reads a network model stored in <a href="http://caffe.berkeleyvision.org">Caffe</a> framework's format.
* @param prototxt path to the .prototxt file with text description of the network architecture.
* @param caffeModel path to the .caffemodel file with learned network.
@@ -1204,14 +1179,12 @@ CV__DNN_INLINE_NS_BEGIN
* extensions are expected for models from different frameworks:
* * `*.caffemodel` (Caffe, http://caffe.berkeleyvision.org/)
* * `*.pb` (TensorFlow, https://www.tensorflow.org/)
* * `*.weights` (Darknet, https://pjreddie.com/darknet/)
* * `*.bin` | `*.onnx` (OpenVINO, https://software.intel.com/openvino-toolkit)
* * `*.onnx` (ONNX, https://onnx.ai/)
* @param[in] config Text file contains network configuration. It could be a
* file with the following extensions:
* * `*.prototxt` (Caffe, http://caffe.berkeleyvision.org/)
* * `*.pbtxt` (TensorFlow, https://www.tensorflow.org/)
* * `*.cfg` (Darknet, https://pjreddie.com/darknet/)
* * `*.xml` (OpenVINO, https://software.intel.com/openvino-toolkit)
* @param[in] framework Explicit framework name tag to determine a format.
* @param[in] engine select DNN engine to be used. With auto selection the new engine is used first and falls back to classic.
@@ -1220,9 +1193,8 @@ CV__DNN_INLINE_NS_BEGIN
* @returns Net object.
*
* This function automatically detects an origin framework of trained model
* and calls an appropriate function such @ref readNetFromCaffe, @ref readNetFromTensorflow
* or @ref readNetFromDarknet. An order of @p model and @p config
* arguments does not matter.
* and calls an appropriate function such @ref readNetFromCaffe, @ref readNetFromTensorflow.
* An order of @p model and @p config arguments does not matter.
*/
CV_EXPORTS_W Net readNet(CV_WRAP_FILE_PATH const String& model,
CV_WRAP_FILE_PATH const String& config = "",