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NTUYWANG103 / APEX_AIMBOT

This is a YOLOV7 based APEX and CSGO Aimbot
GNU General Public License v3.0
583 stars 99 forks source link

No detection window，virtualization = True，NO sure if it has worked #112

Open lightup666 opened 11 months ago

lightup666 commented 11 months ago

The terminal shows that： -------The first time the model is being built, the waiting time is long (about 15 mins), and there will be a text message when it is finished.------- [11/12/2023-13:46:26] [TRT] [I] [MemUsageChange] Init CUDA: CPU +3, GPU +0, now: CPU 9224, GPU 1073 (MiB) [11/12/2023-13:46:31] [TRT] [I] [MemUsageChange] Init builder kernel library: CPU +1393, GPU +266, now: CPU 11763, GPU 1339 (MiB) [11/12/2023-13:46:31] [TRT] [W] onnx2trt_utils.cpp:374: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32. [11/12/2023-13:46:31] [TRT] [W] onnx2trt_utils.cpp:400: One or more weights outside the range of INT32 was clamped [11/12/2023-13:46:31] [TRT] [I] No importer registered for op: EfficientNMS_TRT. Attempting to import as plugin. [11/12/2023-13:46:31] [TRT] [I] Searching for plugin: EfficientNMS_TRT, plugin_version: 1, plugin_namespace: [11/12/2023-13:46:31] [TRT] [W] builtin_op_importers.cpp:5221: Attribute class_agnostic not found in plugin node! Ensure that the plugin creator has a default value defined or the engine may fail to build. [11/12/2023-13:46:31] [TRT] [I] Successfully created plugin: EfficientNMS_TRT Network Description Input 'images' with shape (1, 3, 640, 640) and dtype DataType.FLOAT Output 'num_dets' with shape (1, 1) and dtype DataType.INT32 Output 'det_boxes' with shape (1, 12, 4) and dtype DataType.FLOAT Output 'det_scores' with shape (1, 12) and dtype DataType.FLOAT Output 'det_classes' with shape (1, 12) and dtype DataType.INT32 Building fp16 Engine in E:\APEX_AIMBOT-master\APEX_AIMBOT-master\weights\best_apex.trt [11/12/2023-13:46:31] [TRT] [I] Graph optimization time: 0.0187271 seconds. [11/12/2023-13:46:31] [TRT] [I] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU -1, GPU +10, now: CPU 10815, GPU 1349 (MiB) [11/12/2023-13:46:31] [TRT] [I] [MemUsageChange] Init cuDNN: CPU +10, GPU +8, now: CPU 10825, GPU 1357 (MiB) [11/12/2023-13:46:31] [TRT] [I] Local timing cache in use. Profiling results in this builder pass will not be stored.

lightup666 commented 11 months ago

What would the terminal display if the program runs correctly?

PlutoNameless commented 10 months ago

You will be prompted with Startup complete.