Added robosub weights

This commit is contained in:
yikestone 2019-08-03 23:22:24 -07:00
parent c9e3219384
commit 7da068af7a
5 changed files with 103 additions and 103 deletions

View File

@ -1,16 +1,16 @@
person
bicycle
car
motorbike
aeroplane
bus
train
truck
boat
traffic light
fire hydrant
stop sign
parking meter
jiangshi
draugar
aswang
vatalas
bat
wolf
torpedo
heart
circle
jiangshi_face
draugar_face
aswang_face
vatalas_pichwada
bench
bird
cat

View File

@ -1,12 +1,28 @@
<?xml version="1.0" ?>
<mapping>
<map>
<framework name="detector/yolo-v3-tiny/Conv_4/LeakyRelu" out_port_id="0"/>
<IR id="14" name="LeakyReLU_863" out_port_id="1"/>
<framework name="detector/truediv" out_port_id="0"/>
<IR id="0" name="inputs" out_port_id="0"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv/BatchNorm/FusedBatchNorm" out_port_id="0"/>
<IR id="1" name="detector/yolo-v3-tiny/Conv/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv/LeakyRelu" out_port_id="0"/>
<IR id="2" name="LeakyReLU_857" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/pool2/MaxPool" out_port_id="0"/>
<IR id="3" name="detector/yolo-v3-tiny/pool2/MaxPool" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_1/BatchNorm/FusedBatchNorm" out_port_id="0"/>
<IR id="4" name="detector/yolo-v3-tiny/Conv_1/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_1/LeakyRelu" out_port_id="0"/>
<IR id="5" name="LeakyReLU_865" out_port_id="1"/>
<IR id="5" name="LeakyReLU_856" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/pool2_1/MaxPool" out_port_id="0"/>
@ -17,69 +33,73 @@
<IR id="7" name="detector/yolo-v3-tiny/Conv_2/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_1/BatchNorm/FusedBatchNorm" out_port_id="0"/>
<IR id="4" name="detector/yolo-v3-tiny/Conv_1/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_8/LeakyRelu" out_port_id="0"/>
<IR id="32" name="LeakyReLU_864" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_6/LeakyRelu" out_port_id="0"/>
<IR id="20" name="LeakyReLU_856" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_9/BiasAdd" out_port_id="0"/>
<IR id="33" name="detector/yolo-v3-tiny/Conv_9/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/pool2_4/MaxPool" out_port_id="0"/>
<IR id="15" name="detector/yolo-v3-tiny/pool2_4/MaxPool" out_port_id="1"/>
<framework name="detector/yolo-v3-tiny/Conv_2/LeakyRelu" out_port_id="0"/>
<IR id="8" name="LeakyReLU_859" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/pool2_2/MaxPool" out_port_id="0"/>
<IR id="9" name="detector/yolo-v3-tiny/pool2_2/MaxPool" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_6/BatchNorm/FusedBatchNorm" out_port_id="0"/>
<IR id="19" name="detector/yolo-v3-tiny/Conv_6/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv/BatchNorm/FusedBatchNorm" out_port_id="0"/>
<IR id="1" name="detector/yolo-v3-tiny/Conv/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_3/BatchNorm/FusedBatchNorm" out_port_id="0"/>
<IR id="10" name="detector/yolo-v3-tiny/Conv_3/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_7/LeakyRelu" out_port_id="0"/>
<IR id="22" name="LeakyReLU_861" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_3/LeakyRelu" out_port_id="0"/>
<IR id="11" name="LeakyReLU_859" out_port_id="1"/>
<IR id="11" name="LeakyReLU_865" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_8/BatchNorm/FusedBatchNorm" out_port_id="0"/>
<IR id="31" name="detector/yolo-v3-tiny/Conv_8/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_11/LeakyRelu" out_port_id="0"/>
<IR id="28" name="LeakyReLU_860" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv/LeakyRelu" out_port_id="0"/>
<IR id="2" name="LeakyReLU_" out_port_id="1"/>
<framework name="detector/yolo-v3-tiny/pool2_3/MaxPool" out_port_id="0"/>
<IR id="12" name="detector/yolo-v3-tiny/pool2_3/MaxPool" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_4/BatchNorm/FusedBatchNorm" out_port_id="0"/>
<IR id="13" name="detector/yolo-v3-tiny/Conv_4/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_4/LeakyRelu" out_port_id="0"/>
<IR id="14" name="LeakyReLU_863" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/pool2_4/MaxPool" out_port_id="0"/>
<IR id="15" name="detector/yolo-v3-tiny/pool2_4/MaxPool" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_5/BatchNorm/FusedBatchNorm" out_port_id="0"/>
<IR id="16" name="detector/yolo-v3-tiny/Conv_5/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_5/LeakyRelu" out_port_id="0"/>
<IR id="17" name="LeakyReLU_864" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/pool2_5/MaxPool" out_port_id="0"/>
<IR id="18" name="detector/yolo-v3-tiny/pool2_5/MaxPool" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_6/BatchNorm/FusedBatchNorm" out_port_id="0"/>
<IR id="19" name="detector/yolo-v3-tiny/Conv_6/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_6/LeakyRelu" out_port_id="0"/>
<IR id="20" name="LeakyReLU_862" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_7/BatchNorm/FusedBatchNorm" out_port_id="0"/>
<IR id="21" name="detector/yolo-v3-tiny/Conv_7/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_7/LeakyRelu" out_port_id="0"/>
<IR id="22" name="LeakyReLU_861" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_10/BatchNorm/FusedBatchNorm" out_port_id="0"/>
<IR id="23" name="detector/yolo-v3-tiny/Conv_10/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_10/LeakyRelu" out_port_id="0"/>
<IR id="24" name="LeakyReLU_858" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/upsampled" out_port_id="0"/>
<IR id="25" name="detector/yolo-v3-tiny/ResizeNearestNeighbor" out_port_id="1"/>
@ -89,51 +109,31 @@
<IR id="25" name="detector/yolo-v3-tiny/ResizeNearestNeighbor" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_12/BiasAdd" out_port_id="0"/>
<IR id="29" name="detector/yolo-v3-tiny/Conv_12/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/truediv" out_port_id="0"/>
<IR id="0" name="inputs" out_port_id="0"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_5/LeakyRelu" out_port_id="0"/>
<IR id="17" name="LeakyReLU_862" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_10/LeakyRelu" out_port_id="0"/>
<IR id="24" name="LeakyReLU_857" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_2/LeakyRelu" out_port_id="0"/>
<IR id="8" name="LeakyReLU_858" out_port_id="1"/>
<framework name="detector/yolo-v3-tiny/concat_3" out_port_id="0"/>
<IR id="26" name="detector/yolo-v3-tiny/concat_3" out_port_id="2"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_11/BatchNorm/FusedBatchNorm" out_port_id="0"/>
<IR id="27" name="detector/yolo-v3-tiny/Conv_11/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_5/BatchNorm/FusedBatchNorm" out_port_id="0"/>
<IR id="16" name="detector/yolo-v3-tiny/Conv_5/Conv2D" out_port_id="3"/>
<framework name="detector/yolo-v3-tiny/Conv_11/LeakyRelu" out_port_id="0"/>
<IR id="28" name="LeakyReLU_860" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/pool2/MaxPool" out_port_id="0"/>
<IR id="3" name="detector/yolo-v3-tiny/pool2/MaxPool" out_port_id="1"/>
<framework name="detector/yolo-v3-tiny/Conv_12/BiasAdd" out_port_id="0"/>
<IR id="29" name="detector/yolo-v3-tiny/Conv_12/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/Conv_7/BatchNorm/FusedBatchNorm" out_port_id="0"/>
<IR id="21" name="detector/yolo-v3-tiny/Conv_7/Conv2D" out_port_id="3"/>
<framework name="detector/yolo-v3-tiny/Conv_8/BatchNorm/FusedBatchNorm" out_port_id="0"/>
<IR id="31" name="detector/yolo-v3-tiny/Conv_8/Conv2D" out_port_id="3"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/pool2_5/MaxPool" out_port_id="0"/>
<IR id="18" name="detector/yolo-v3-tiny/pool2_5/MaxPool" out_port_id="1"/>
<framework name="detector/yolo-v3-tiny/Conv_8/LeakyRelu" out_port_id="0"/>
<IR id="32" name="LeakyReLU_" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/pool2_3/MaxPool" out_port_id="0"/>
<IR id="12" name="detector/yolo-v3-tiny/pool2_3/MaxPool" out_port_id="1"/>
</map>
<map>
<framework name="detector/yolo-v3-tiny/concat_3" out_port_id="0"/>
<IR id="26" name="detector/yolo-v3-tiny/concat_3" out_port_id="2"/>
<framework name="detector/yolo-v3-tiny/Conv_9/BiasAdd" out_port_id="0"/>
<IR id="33" name="detector/yolo-v3-tiny/Conv_9/Conv2D" out_port_id="3"/>
</map>
</mapping>

View File

@ -1,5 +1,5 @@
<?xml version="1.0" ?>
<net batch="1" name="frozen_yolov3-tiny-mine" version="4">
<net batch="1" name="frozen_tiny_yolo_v3" version="4">
<layers>
<layer id="0" name="inputs" precision="FP32" type="Input">
<output>
@ -34,7 +34,7 @@
<biases offset="1728" size="64"/>
</blobs>
</layer>
<layer id="2" name="LeakyReLU_" precision="FP32" type="ReLU">
<layer id="2" name="LeakyReLU_857" precision="FP32" type="ReLU">
<data negative_slope="0.10000000149011612"/>
<input>
<port id="0">
@ -95,7 +95,7 @@
<biases offset="20224" size="128"/>
</blobs>
</layer>
<layer id="5" name="LeakyReLU_865" precision="FP32" type="ReLU">
<layer id="5" name="LeakyReLU_856" precision="FP32" type="ReLU">
<data negative_slope="0.10000000149011612"/>
<input>
<port id="0">
@ -156,7 +156,7 @@
<biases offset="94080" size="256"/>
</blobs>
</layer>
<layer id="8" name="LeakyReLU_858" precision="FP32" type="ReLU">
<layer id="8" name="LeakyReLU_859" precision="FP32" type="ReLU">
<data negative_slope="0.10000000149011612"/>
<input>
<port id="0">
@ -217,7 +217,7 @@
<biases offset="389248" size="512"/>
</blobs>
</layer>
<layer id="11" name="LeakyReLU_859" precision="FP32" type="ReLU">
<layer id="11" name="LeakyReLU_865" precision="FP32" type="ReLU">
<data negative_slope="0.10000000149011612"/>
<input>
<port id="0">
@ -339,7 +339,7 @@
<biases offset="6289024" size="2048"/>
</blobs>
</layer>
<layer id="17" name="LeakyReLU_862" precision="FP32" type="ReLU">
<layer id="17" name="LeakyReLU_864" precision="FP32" type="ReLU">
<data negative_slope="0.10000000149011612"/>
<input>
<port id="0">
@ -400,7 +400,7 @@
<biases offset="25165440" size="4096"/>
</blobs>
</layer>
<layer id="20" name="LeakyReLU_856" precision="FP32" type="ReLU">
<layer id="20" name="LeakyReLU_862" precision="FP32" type="ReLU">
<data negative_slope="0.10000000149011612"/>
<input>
<port id="0">
@ -484,7 +484,7 @@
<biases offset="26350208" size="512"/>
</blobs>
</layer>
<layer id="24" name="LeakyReLU_857" precision="FP32" type="ReLU">
<layer id="24" name="LeakyReLU_858" precision="FP32" type="ReLU">
<data negative_slope="0.10000000149011612"/>
<input>
<port id="0">
@ -654,7 +654,7 @@
<biases offset="34871420" size="2048"/>
</blobs>
</layer>
<layer id="32" name="LeakyReLU_864" precision="FP32" type="ReLU">
<layer id="32" name="LeakyReLU_" precision="FP32" type="ReLU">
<data negative_slope="0.10000000149011612"/>
<input>
<port id="0">
@ -756,6 +756,7 @@
<meta_data>
<MO_version value="1.5.12.49d067a0"/>
<cli_parameters>
<batch value="1"/>
<data_type value="FP32"/>
<disable_fusing value="False"/>
<disable_gfusing value="False"/>
@ -764,9 +765,8 @@
<extensions value="DIR"/>
<framework value="tf"/>
<generate_deprecated_IR_V2 value="False"/>
<input_model value="DIR/frozen_yolov3-tiny-mine.pb"/>
<input_model value="DIR/frozen_tiny_yolo_v3.pb"/>
<input_model_is_text value="False"/>
<input_shape value="[1,416,416,3]"/>
<log_level value="ERROR"/>
<mean_values value="()"/>
<move_to_preprocess value="False"/>
@ -777,7 +777,7 @@
<silent value="False"/>
<tensorflow_use_custom_operations_config value="DIR/yolo_v3_tiny_changed.json"/>
<version value="False"/>
<unset unset_cli_parameters="batch, finegrain_fusing, freeze_placeholder_with_value, input, input_checkpoint, input_meta_graph, model_name, output, saved_model_dir, saved_model_tags, scale, tensorboard_logdir, tensorflow_custom_layer_libraries, tensorflow_custom_operations_config_update, tensorflow_object_detection_api_pipeline_config, tensorflow_operation_patterns, tensorflow_subgraph_patterns"/>
<unset unset_cli_parameters="finegrain_fusing, freeze_placeholder_with_value, input, input_checkpoint, input_meta_graph, input_shape, model_name, output, saved_model_dir, saved_model_tags, scale, tensorboard_logdir, tensorflow_custom_layer_libraries, tensorflow_custom_operations_config_update, tensorflow_object_detection_api_pipeline_config, tensorflow_operation_patterns, tensorflow_subgraph_patterns"/>
</cli_parameters>
</meta_data>
</net>

View File

@ -2,7 +2,7 @@
<node name="object_detection" pkg="openvino_object_detection" type="object_detection">
<param name="target" value="CPU"/>
<param name="model" value="$(find openvino_object_detection)/irmodels/tiny-YoloV3/FP32/frozen_yolov3-tiny-mine.xml"/>
<param name="model" value="$(find openvino_object_detection)/irmodels/tiny-YoloV3/FP32/frozen_tiny_yolo_v3.xml"/>
<param name="width" value="648"/>
<param name="height" value="488"/>
</node>