################################################################################ # Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved. # # Permission is hereby granted, free of charge, to any person obtaining a # copy of this software and associated documentation files (the "Software"), # to deal in the Software without restriction, including without limitation # the rights to use, copy, modify, merge, publish, distribute, sublicense, # and/or sell copies of the Software, and to permit persons to whom the # Software is furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL # THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # DEALINGS IN THE SOFTWARE. ################################################################################ # Following properties are mandatory when engine files are not specified: # int8-calib-file(Only in INT8) # Caffemodel mandatory properties: model-file, proto-file, output-blob-names # UFF: uff-file, input-dims, uff-input-blob-name, output-blob-names # ONNX: onnx-file # # Mandatory properties for detectors: # num-detected-classes # # Optional properties for detectors: # cluster-mode(Default=Group Rectangles), interval(Primary mode only, Default=0) # custom-lib-path, # parse-bbox-func-name # # Mandatory properties for classifiers: # classifier-threshold, is-classifier # # Optional properties for classifiers: # classifier-async-mode(Secondary mode only, Default=false) # # Optional properties in secondary mode: # operate-on-gie-id(Default=0), operate-on-class-ids(Defaults to all classes), # input-object-min-width, input-object-min-height, input-object-max-width, # input-object-max-height # # Following properties are always recommended: # batch-size(Default=1) # # Other optional properties: # net-scale-factor(Default=1), network-mode(Default=0 i.e FP32), # model-color-format(Default=0 i.e. RGB) model-engine-file, labelfile-path, # mean-file, gie-unique-id(Default=0), offsets, process-mode (Default=1 i.e. primary), # custom-lib-path, network-mode(Default=0 i.e FP32) # # The values in the config file are overridden by values set through GObject # properties. [property] gpu-id=0 tlt-encoded-model=/home/divya/computer_vision/cv_samples_v1.4.0/action_recognition_net/results/export/rgb_resnet18_3.etlt tlt-model-key=nvidia_tao model-engine-file=/home/divya/computer_vision/cv_samples_v1.4.0/action_recognition_net/results/export/rgb_resnet18_3.etlt_b1_gpu0_fp16.engine labelfile-path=labels.txt batch-size=1 process-mode=1 # requries preprocess metadata input input-tensor-from-meta=1 ## 0=FP32, 1=INT8, 2=FP16 mode network-mode=2 gie-unique-id=1 # 1: classifier, 100: custom network-type=100 # Let application to parse the inference tensor output output-tensor-meta=1 tensor-meta-pool-size=8