Update README.md

tne-ai · Jun 11, 2020 · 03e3f52 · 03e3f52
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@@ -144,6 +144,7 @@ python eval.py \
    --dataset_name blender --scene_name lego \
    --img_wh 400 400 --N_importance 64 --ckpt_path $CKPT_PATH
 ```
+**IMPORTANT** : Don't forget to add `--spheric_poses` if the model is trained under `--spheric` setting!
 It will create folder `results/{dataset_name}/{scene_name}` and run inference on all test data, finally create a gif out of them.
 
 Example of lego scene using pretrained model and the reconstructed **colored** mesh: (PSNR=31.39, paper=32.54)