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Results 1 - 4 of 4 for max_detections (0.17 sec)
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tensorflow/compiler/mlir/lite/utils/nms_utils.cc
func::FuncOp func, DictionaryAttr attrs, std::string& custom_option_buffer) { flexbuffers::Builder fbb; size_t start_map = fbb.StartMap(); if (failed(AddIntAttr(func, attrs, "max_detections", &fbb)) || failed(AddIntAttr(func, attrs, "max_classes_per_detection", &fbb)) || failed(AddIntAttr(func, attrs, "num_classes", &fbb)) || failed(AddFloatAttr(func, attrs, "nms_score_threshold", &fbb)) ||
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc
"'TFLite_Detection_PostProcess:3' type: DT_FLOAT } attr : { name: " "'h_scale' type: 'float'} attr : { name: 'max_classes_per_detection' " "type: 'int'} attr : { name: 'max_detections' type: 'int'} attr : { " "name: 'nms_iou_threshold' type: 'float'} attr : { name: " "'nms_score_threshold' type: 'float'} attr : { name: 'num_classes' type: "
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun May 12 12:39:37 UTC 2024 - 17.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
func.func @tflite_custom_nms(%arg0: tensor<1x100x4xf32>, %arg1: tensor<1x100x91xf32>, %arg2: tensor<100x4xf32>) -> (tensor<f32>, tensor<f32>, tensor<f32>, tensor<f32>) attributes {tf._implements = #tf_type.func<@"TFLite_Detection_PostProcess", {max_detections = 10 : i64, max_classes_per_detection = 1 : i64, num_classes = 91 : i64, nms_score_threshold = 0.5 : f32, nms_iou_threshold = 0.6 : f32, y_scale = 5.0 : f32, x_scale = 10.0 : f32, h_scale = 1.0 : f32, w_scale = 2.0 : f32, use_regular_nms = 0 :...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
0, %a1, %a2) {_output_quantized = true, _output_types = [f32, f32, f32, f32], _support_output_type_float_in_quantized_op = true, detections_per_class = 100 : i64, device = "", h_scale = 5.000000e+00 : f32, max_classes_per_detection = 1 : i64, max_detections = 20 : i64, nms_iou_threshold = 6.000000e-01 : f32, nms_score_threshold = 3.000000e-01 : f32, num_classes = 90 : i64, use_regular_nms = false, w_scale = 5.000000e+00 : f32, x_scale = 1.000000e+01 : f32, y_scale = 1.000000e+01 : f32} : (tensor<1x64x64x32xf32>,...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0)