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lines changed Original file line number Diff line number Diff line change @@ -386,7 +386,7 @@ PaddleX 内置了多条产线,每条产线都包含了若干模块,每个模
386386<td ><a href =" https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b2/PP-HGNetV2-B4_ML_infer.tar " >推理模型</a >/<a href =" https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-HGNetV2-B4_ML_pretrained.pdparams " >训练模型</a ></td ></tr >
387387<tr >
388388<td >PP-HGNetV2-B6_ML</td >
389- <td >91.25 </td >
389+ <td >91.06 </td >
390390<td >286.5 M</td >
391391<td ><a href =" https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b2/PP-HGNetV2-B6_ML_infer.tar " >推理模型</a >/<a href =" https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-HGNetV2-B6_ML_pretrained.pdparams " >训练模型</a ></td ></tr >
392392<td ><a href =" https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b2/PP-HGNetV2-B0_ML_infer.tar " >推理模型</a >/<a href =" https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-HGNetV2-B0_ML_pretrained.pdparams " >训练模型</a ></td ></tr ></tbody >
Original file line number Diff line number Diff line change @@ -702,7 +702,7 @@ PaddleX 内置了多条产线,每条产线都包含了若干模块,每个模
702702<td ><a href =" https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b2/PP-HGNetV2-B4_ML_infer.tar " >推理模型</a >/<a href =" https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-HGNetV2-B4_ML_pretrained.pdparams " >训练模型</a ></td ></tr >
703703<tr >
704704<td >PP-HGNetV2-B6_ML</td >
705- <td >91.25 </td >
705+ <td >91.06 </td >
706706<td >-</td >
707707<td >-</td >
708708<td >286.5 M</td >
@@ -718,7 +718,7 @@ PaddleX 内置了多条产线,每条产线都包含了若干模块,每个模
718718<td ><a href =" https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b2/PP-LCNet_x1_0_ML_infer.tar " >推理模型</a >/<a href =" https://paddle-model-ecology.bj.bcebos.com/paddlex/official_pretrained_model/PP-LCNet_x1_0_ML_pretrained.pdparams " >训练模型</a ></td ></tr >
719719<tr >
720720<td >ResNet50_ML</td >
721- <td >83.50 </td >
721+ <td >83.42 </td >
722722<td >-</td >
723723<td >-</td >
724724<td >108.9 M</td >
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