GstInference/Model Zoo: Difference between revisions
No edit summary |
mNo edit summary |
||
(32 intermediate revisions by 5 users not shown) | |||
Line 1: | Line 1: | ||
<noinclude> | <noinclude> | ||
{{GstInference/Head|previous= | {{GstInference/Head|previous=Benchmarks|next=Project Status|metakeywords=GstInference gstreamer pipelines, Inference gstreamer pipelines, NCSDK, GoogLeNet, TinyYolo v2, GoogLeNet x2,TensorFlow backend,TensorFlow detection,TensorFlow detection Model Zoo|title=GstInference Model Zoo}} | ||
</noinclude> | </noinclude> | ||
<!-- If you want a custom title for the page, un-comment and edit this line: | <!-- If you want a custom title for the page, un-comment and edit this line: | ||
{{DISPLAYTITLE:GstInference - <descriptive page name>|noerror}} | {{DISPLAYTITLE:GstInference - <descriptive page name>|noerror}} | ||
--> | --> | ||
You may find an archive of prebuilt models for the different architectures and different backends ready to be used in our model zoo. | You may find an archive of prebuilt models for the different architectures and different backends ready to be used in our model zoo. All models and binaries may be downloaded for free from [https://shop.ridgerun.com/collections/all?gf_30028=87523524679+85990178887 RidgeRun Store] | ||
* Current models are provided as tar files, | * Current models are provided as tar files, tar checksums are provided on the next table: | ||
== Coral == | |||
Models can be found in official Coral webpage: [https://coral.ai/models/ https://coral.ai/models/] | |||
== Tensorflow == | |||
{| class="wikitable" | |||
! style="text-align: center; font-weight:bold;" | Model | |||
! style="text-align: center; font-weight:bold;" | Checksum | |||
! Model Specifications | |||
|- | |||
| [https://shop.ridgerun.com/products/facenetv1-for-tensorflow FaceNetV1_TensorFlow.tar.gz] | |||
| ce8a671dfc18fefe5e62b9c3a81ed0edbee9a3b8 | |||
| Image Input: 160x160<br/>Input-node: input<br/>Output-node: output | |||
|- | |||
| [https://shop.ridgerun.com/products/inceptionv1-for-tensorflow InceptionV1_TensorFlow.tar.gz] | |||
| a68ec492ca07e571e74af451bd285162d7e52a90 | |||
| Image Input: 224x224<br/>Input-node: input<br/>Output-node: InceptionV1/Logits/Predictions/Reshape_1 | |||
|- | |||
| [https://shop.ridgerun.com/products/inceptionv2-for-tensorflow InceptionV2_TensorFlow.tar.gz] | |||
| 44a9f569b05489ef513db856492c468f8ad46028 | |||
| Input-image:224x224<br/>Input-node:input<br/>Output-node:Softmax | |||
|- | |||
| [https://shop.ridgerun.com/products/inceptionv3-for-tensorflow InceptionV3_TensorFlow.tar.gz] | |||
| 3a97cba8c4ebf90a47eb41aeccce569d343e1460 | |||
| Input-image:299x299<br/>Input-node:input<br/>Output-node:InceptionV3/Predictions/Reshape_1 | |||
|- | |||
| [https://shop.ridgerun.com/products/tinyyolov2-for-tensorflow TinyYoloV2_TensorFlow.tar.gz] | |||
| 7506e33528b947fb170069b5df2de4fc5d901eb2 | |||
| Input-image:416x416<br/>Input-node:input/Placeholder<br/>Output-node:add_8 | |||
|- | |||
| [https://shop.ridgerun.com/products/inceptionv4-for-tensorflow InceptionV4_TensorFlow.tar.gz] | |||
| b3cfbc580d4e7a256a1bf036da5506e0b7f173c3 | |||
| Input-image:299x299<br/>Input-node:input<br/>Output-node:InceptionV4/Logits/Predictions | |||
|- | |||
| [https://shop.ridgerun.com/products/mobilenetv2-for-tensorflow MobilenetV2_TensorFlow.tar.gz] | |||
| 6bee950ee7a4579d2c91d6a906a33c47c4464625 | |||
| Input-image:224x224<br/>Input-node:input<br/>Output-node:MobilenetV2/Predictions/Reshape_1 | |||
|- | |||
| [https://shop.ridgerun.com/products/resnet50v1-for-tensorflow ResnetV1_TensorFlow.tar.gz] | |||
| 6235967da283a91d51112456741238c52bbdd704 | |||
| Input-image:224x224<br/>Input-node:input_tensor<br/>Output-node:softmax_tensor | |||
|- | |||
| [https://shop.ridgerun.com/products/tensorflow-cpu-binaries-for-nvidia-xavier-boards libtensorflow-xavier-cpu.tar.gz] | |||
| f1b57316edb6bf12c3d30a7cf6ef3646511ad1d1 | |||
| | |||
|- | |||
| [https://shop.ridgerun.com/products/tensorflow-cpu-binaries-for-nvidia-tx2-boards libtensorflow-tx2-cpu.tar.gz] | |||
| 8d39a513b7837de4cfa65bab9172ae055635dc8e | |||
| | |||
|} | |||
== Tensorflow-Lite == | |||
{| class="wikitable" | |||
! style="text-align: center; font-weight:bold;" | Model | |||
! style="text-align: center; font-weight:bold;" | Checksum | |||
! Model Specifications | |||
|- | |||
| [https://shop.ridgerun.com/products/inceptionv1-for-tensorflow-lite InceptionV1_TensorFlow-Lite.tar.gz] | |||
| b33d2ab02adeb1d7aa0489d3ee62fc224a7e94b8 | |||
| Image Input: 224x224<br/>Input-node: input<br/>Output-node: InceptionV1/Logits/Predictions/Reshape_1 | |||
|- | |||
| [https://shop.ridgerun.com/products/inceptionv2-for-tensorflow-lite InceptionV2_TensorFlow-Lite.tar.gz] | |||
| 5fd518d52981519cd6b9cb434015b3bf1e57f1fc | |||
| Input-image:224x224<br/>Input-node:input<br/>Output-node:Softmax | |||
|- | |||
| [https://shop.ridgerun.com/products/inceptionv3-for-tensorflow-lite InceptionV3_TensorFlow-Lite.tar.gz] | |||
| ac8edd37583ba12f6ae13904918fbd2105d3fe59 | |||
| Input-image:299x299<br/>Input-node:input<br/>Output-node:InceptionV3/Predictions/Reshape_1 | |||
|- | |||
| [https://shop.ridgerun.com/products/tinyyolov2-for-tensorflow-lite TinyYoloV2_TensorFlow-Lite.tar.gz] | |||
| 7907a3e18110d03b65551884f5329e9e8b0419a8 | |||
| Input-image:416x416<br/>Input-node:input/Placeholder<br/>Output-node:add_8 | |||
|- | |||
| [https://shop.ridgerun.com/products/inceptionv4-for-tensorflow-lite InceptionV4_TensorFlow-Lite.tar.gz] | |||
| 6d859914c406b608791e82343e08df095ef3642b | |||
| Input-image:299x299<br/>Input-node:input<br/>Output-node:InceptionV4/Logits/Predictions | |||
|- | |||
| [https://shop.ridgerun.com/products/mobilenetv2-for-tensorflow-lite MobilenetV2_TensorFlow-Lite.tar.gz] | |||
| 076bde92fba296e2a44c52210b38d14e7a42617e | |||
| Input-image:224x224<br/>Input-node:input<br/>Output-node:MobilenetV2/Predictions/Reshape_1 | |||
|- | |||
| [https://shop.ridgerun.com/products/inception-resnetv2-for-tensorflow-lite ResnetV1_TensorFlow-Lite.tar.gz] | |||
| cdb4d04ff4708f3ae794eb86ea541e101f1bb160 | |||
| Input-image:224x224<br/>Input-node:input_tensor<br/>Output-node:softmax_tensor | |||
|} | |||
== NCSDK == | |||
{| class="wikitable" | {| class="wikitable" | ||
! style="text-align: center; font-weight:bold;" | Model | ! style="text-align: center; font-weight:bold;" | Model | ||
! style="text-align: center; font-weight:bold;" | Checksum | ! style="text-align: center; font-weight:bold;" | Checksum | ||
! Model Specifications | |||
|- | |- | ||
| FaceNetV1_NCSDK.tar.gz | | [https://shop.ridgerun.com/products/facenetv1-for-ncsdk FaceNetV1_NCSDK.tar.gz] | ||
| 6b40f43c5223cb2a12eac543ade2b93ac28ee741 | | 6b40f43c5223cb2a12eac543ade2b93ac28ee741 | ||
| Image Input: 160x160<br/>Input-node: input <br/>Output-node: output | |||
|- | |- | ||
| | | [https://shop.ridgerun.com/products/inceptionv1-for-ncsdk InceptionV1_NCSDK.tar.gz] | ||
| | | 77350a45c21c6fa88509a214f83636fba95092ad | ||
| Image Input: 224x224<br/>Input-node: input<br/>Output-node: InceptionV1/Logits/Predictions/Reshape_1 | |||
|- | |||
| [https://shop.ridgerun.com/products/inceptionv2-for-ncsdk InceptionV2_NCSDK.tar.gz] | |||
| ba9f11df13599cf2a4fa2d5ff908b92d2f913249 | |||
| Input-image:224x224<br/>Input-node:input<br/>Output-node:Softmax | |||
|- | |- | ||
| | | [https://shop.ridgerun.com/products/inceptionv3-for-ncsdk InceptionV3_NCSDK.tar.gz] | ||
| | | 3884f4d318c89f1f851422948dd8243a78e40226 | ||
| Input-image:299x299<br/>Input-node:input<br/>Output-node:InceptionV3/Predictions/Reshape_1 | |||
|- | |- | ||
| | | [https://shop.ridgerun.com/products/tinyyolov2-for-ncsdk TinyYoloV2_NCSDK.tar.gz] | ||
| | | 82e7a505fd8a83f5a1722d54f57414970806c645 | ||
| Input-image:416x416<br/>Input-node:input/Placeholder<br/>Output-node:add_8 | |||
|- | |- | ||
| | | [https://shop.ridgerun.com/products/inceptionv4-for-ncsdk InceptionV4_NCSDK.tar.gz] | ||
| | | 072109bc4ead4aae956ce298e9e562bf2cb61df2 | ||
| Input-image:299x299<br/>Input-node:input<br/>Output-node:InceptionV4/Logits/Predictions | |||
|- | |- | ||
| | | [https://shop.ridgerun.com/products/mobilenetv2-for-ncsdk MobilenetV2_NCSDK.tar.gz] | ||
| | | 3d9e1a426844dec7211ac2a2d830b46c64c0fac8 | ||
| Input-image:224x224<br/>Input-node:input<br/>Output-node:MobilenetV2/Predictions/Reshape_1 | |||
|} | |} | ||
<noinclude> | <noinclude> | ||
{{GstInference/Foot| | {{GstInference/Foot|Benchmarks|Project Status}} | ||
</noinclude> | </noinclude> |
Latest revision as of 19:40, 27 February 2023
Make sure you also check GstInference's companion project: R2Inference |
GstInference |
---|
Introduction |
Getting started |
Supported architectures |
InceptionV1 InceptionV3 YoloV2 AlexNet |
Supported backends |
Caffe |
Metadata and Signals |
Overlay Elements |
Utils Elements |
Legacy pipelines |
Example pipelines |
Example applications |
Benchmarks |
Model Zoo |
Project Status |
Contact Us |
|
You may find an archive of prebuilt models for the different architectures and different backends ready to be used in our model zoo. All models and binaries may be downloaded for free from RidgeRun Store
- Current models are provided as tar files, tar checksums are provided on the next table:
Coral
Models can be found in official Coral webpage: https://coral.ai/models/
Tensorflow
Model | Checksum | Model Specifications |
---|---|---|
FaceNetV1_TensorFlow.tar.gz | ce8a671dfc18fefe5e62b9c3a81ed0edbee9a3b8 | Image Input: 160x160 Input-node: input Output-node: output |
InceptionV1_TensorFlow.tar.gz | a68ec492ca07e571e74af451bd285162d7e52a90 | Image Input: 224x224 Input-node: input Output-node: InceptionV1/Logits/Predictions/Reshape_1 |
InceptionV2_TensorFlow.tar.gz | 44a9f569b05489ef513db856492c468f8ad46028 | Input-image:224x224 Input-node:input Output-node:Softmax |
InceptionV3_TensorFlow.tar.gz | 3a97cba8c4ebf90a47eb41aeccce569d343e1460 | Input-image:299x299 Input-node:input Output-node:InceptionV3/Predictions/Reshape_1 |
TinyYoloV2_TensorFlow.tar.gz | 7506e33528b947fb170069b5df2de4fc5d901eb2 | Input-image:416x416 Input-node:input/Placeholder Output-node:add_8 |
InceptionV4_TensorFlow.tar.gz | b3cfbc580d4e7a256a1bf036da5506e0b7f173c3 | Input-image:299x299 Input-node:input Output-node:InceptionV4/Logits/Predictions |
MobilenetV2_TensorFlow.tar.gz | 6bee950ee7a4579d2c91d6a906a33c47c4464625 | Input-image:224x224 Input-node:input Output-node:MobilenetV2/Predictions/Reshape_1 |
ResnetV1_TensorFlow.tar.gz | 6235967da283a91d51112456741238c52bbdd704 | Input-image:224x224 Input-node:input_tensor Output-node:softmax_tensor |
libtensorflow-xavier-cpu.tar.gz | f1b57316edb6bf12c3d30a7cf6ef3646511ad1d1 | |
libtensorflow-tx2-cpu.tar.gz | 8d39a513b7837de4cfa65bab9172ae055635dc8e |
Tensorflow-Lite
Model | Checksum | Model Specifications |
---|---|---|
InceptionV1_TensorFlow-Lite.tar.gz | b33d2ab02adeb1d7aa0489d3ee62fc224a7e94b8 | Image Input: 224x224 Input-node: input Output-node: InceptionV1/Logits/Predictions/Reshape_1 |
InceptionV2_TensorFlow-Lite.tar.gz | 5fd518d52981519cd6b9cb434015b3bf1e57f1fc | Input-image:224x224 Input-node:input Output-node:Softmax |
InceptionV3_TensorFlow-Lite.tar.gz | ac8edd37583ba12f6ae13904918fbd2105d3fe59 | Input-image:299x299 Input-node:input Output-node:InceptionV3/Predictions/Reshape_1 |
TinyYoloV2_TensorFlow-Lite.tar.gz | 7907a3e18110d03b65551884f5329e9e8b0419a8 | Input-image:416x416 Input-node:input/Placeholder Output-node:add_8 |
InceptionV4_TensorFlow-Lite.tar.gz | 6d859914c406b608791e82343e08df095ef3642b | Input-image:299x299 Input-node:input Output-node:InceptionV4/Logits/Predictions |
MobilenetV2_TensorFlow-Lite.tar.gz | 076bde92fba296e2a44c52210b38d14e7a42617e | Input-image:224x224 Input-node:input Output-node:MobilenetV2/Predictions/Reshape_1 |
ResnetV1_TensorFlow-Lite.tar.gz | cdb4d04ff4708f3ae794eb86ea541e101f1bb160 | Input-image:224x224 Input-node:input_tensor Output-node:softmax_tensor |
NCSDK
Model | Checksum | Model Specifications |
---|---|---|
FaceNetV1_NCSDK.tar.gz | 6b40f43c5223cb2a12eac543ade2b93ac28ee741 | Image Input: 160x160 Input-node: input Output-node: output |
InceptionV1_NCSDK.tar.gz | 77350a45c21c6fa88509a214f83636fba95092ad | Image Input: 224x224 Input-node: input Output-node: InceptionV1/Logits/Predictions/Reshape_1 |
InceptionV2_NCSDK.tar.gz | ba9f11df13599cf2a4fa2d5ff908b92d2f913249 | Input-image:224x224 Input-node:input Output-node:Softmax |
InceptionV3_NCSDK.tar.gz | 3884f4d318c89f1f851422948dd8243a78e40226 | Input-image:299x299 Input-node:input Output-node:InceptionV3/Predictions/Reshape_1 |
TinyYoloV2_NCSDK.tar.gz | 82e7a505fd8a83f5a1722d54f57414970806c645 | Input-image:416x416 Input-node:input/Placeholder Output-node:add_8 |
InceptionV4_NCSDK.tar.gz | 072109bc4ead4aae956ce298e9e562bf2cb61df2 | Input-image:299x299 Input-node:input Output-node:InceptionV4/Logits/Predictions |
MobilenetV2_NCSDK.tar.gz | 3d9e1a426844dec7211ac2a2d830b46c64c0fac8 | Input-image:224x224 Input-node:input Output-node:MobilenetV2/Predictions/Reshape_1 |