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Hi, please refer to the benchmark.py to do the evaluation, and in this code, we didn't use the eval_list.txt. The only problem of this duplicate is during the first step of our evaluation, where we use the model to acquire the pose prediction results, the model will test this object twice and the second result will cover the previous one. In the second step, the benchmark.py will get a score from the pose prediction results, which won't count the score of this object twice since the first one has already been covered by the second one.
6-PACK/dataset/eval_list/eval_list_1.txt
Line 5 in cac1b29
Here the "bottle_shengjun_norm scene_3" appeared twice. That might affect your final result on the bottle category.
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