release evaluation code & doc

evaluation/infer_batch_lr_yt.sh

@@ -0,0 +1,37 @@
+#!/bin/bash
+
+input_folder="./data/YouTubeMatte/youtubematte_512x288"
+mask_folder="./data/YouTubeMatte_first_frame_seg_mask/youtubematte_512x288"
+
+ckpt_name="matanyone2"
+
+for subfolder in "youtubematte_motion" "youtubematte_static"; do
+  subfolder_path="${input_folder}/${subfolder}"
+  
+  echo "Processing subfolder: ${subfolder}"
+  
+  for video_folder in "${subfolder_path}"/*; do
+    if [ -d "${video_folder}" ]; then
+      video_id=$(basename "${video_folder}")
+
+      mask_file="${mask_folder}/${video_id}.png"
+      if [ -f "${mask_file}" ]; then
+
+        input_frames_folder="${video_folder}/har"
+        if [ -d "${input_frames_folder}" ]; then
+          echo "Processing video: ${video_id} from ${subfolder}"
+          
+          python evaluation/inference_matanyone_eval.py \
+                  --input_path "${input_frames_folder}" \
+                  --mask_path "${mask_file}" \
+                  --output_path "./data/results/youtubematte_512x288/${subfolder}" \
+                  --ckpt_path "pretrained_models/${ckpt_name}.pth" \
+                  --warmup 1 \
+                  --erode_kernel 4 \
+                  --dilate_kernel 4 \
+                  --save_image
+        fi
+      fi
+    fi
+  done
+done