GstInference Model Zoo

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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


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