├── Auto_labeling_algorithm ├── CSRT_大量存圖_存取影像(可存原圖).cpp ├── CSRT_大量存圖_存取影像.cpp ├── JAER修正，剪裁，錄影用(大量影片用).cpp ├── JAER修正，剪裁，錄影用.cpp ├── JAER讀取圖片、創建黑圖、儲存圖片，boundbox.cpp ├── openCV 計算IOU，雅卡爾指數(C++).cpp ├── test_opencv.cpp ├── 中值濾波、高斯濾波，儲存影片.cpp ├── 人工篩選.cpp ├── 人工篩選_YOLO.cpp ├── 偵測ascii.cpp ├── 圖片轉置切割、白轉黑、中值濾波、大量影片處理.cpp ├── 大量改名.cpp ├── 白轉黑_中值濾波、高斯濾波，儲存影片.cpp └── 讀取txt_畫上標記框.cpp ├── Frequency、SAE、LIF ├── aedat4_dataset │ └── download.txt ├── tool_LIF_aedat4.py ├── tool_frequency_aedat4.py ├── tool_sae_aedat4.py └── tool_sae_aedat4_avi.ipynb ├── MNIST-DVS-Detection ├── backup │ └── weights.txt ├── cfg │ └── yolov4_MNIST_DVS512.cfg ├── darknet │ └── darknet_YOLOv4_github.txt ├── dataset │ └── dataset.txt ├── mnist.data ├── mnist.names └── test.py ├── PAFBenchmark ├── backup │ └── weights.txt ├── cfg │ └── yolov4_pedestrian.cfg ├── darknet │ └── darknet_YOLOv4_github.txt ├── dataset │ └── dataset.txt ├── ped_test_finallast.py ├── pes.data └── pes.names ├── README.md ├── Spiking_converted_YOLOv4 ├── PyTorch-Spiking-YOLOv3 │ └── PyTorch-Spiking-YOLOv3.txt ├── ann_to_snn.py ├── backup │ └── backup.txt ├── cfg │ └── spiking_yolov4.cfg ├── dataset │ └── dataset.txt ├── detect.py ├── fju.names ├── fju_YOLOv4.data └── test.py ├── fju_event_pedestrian_detection ├── backup │ └── weights.txt ├── cfg │ └── yolov4_fju_512_4000.cfg ├── darknet │ └── darknet_YOLOv4_github.txt ├── dataset │ └── dataset.txt ├── fju.names ├── fju_YOLOv4.data └── test.py └── flowchart └── flowchart.png /Auto_labeling_algorithm/CSRT_大量存圖_存取影像(可存原圖).cpp: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/fjcu-ee-islab/Spiking_Converted_YOLOv4/HEAD/Auto_labeling_algorithm/CSRT_大量存圖_存取影像(可存原圖).cpp -------------------------------------------------------------------------------- /Auto_labeling_algorithm/CSRT_大量存圖_存取影像.cpp: -------------------------------------------------------------------------------- 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