feat: implement CLI pipeline runner and web Pipeline Studio UI

pipeline.yaml

@@ -0,0 +1,58 @@
+# Reframe CLI Pipeline Configuration File
+# ------------------------------------------------------------
+# This file defines the sequence of operations applied to your video.
+# You can customize these steps or comment/uncomment them as needed.
+
+name: "Standard Video Preprocessing"
+pipeline:
+  # 1. Trim the video (start and end times in seconds)
+  - step: trim
+    start: 0
+    end: 10
+
+  # 2. Resize the video to standard resolution
+  # Options for fit: "contain" (pads black bars) or "crop" (fills screen)
+  - step: resize
+    width: 720
+    height: 1280
+    fit: contain
+
+  # 3. Transcode and convert format
+  # Options: "mp4", "webm", "mkv"
+  - step: convert
+    format: mp4
+
+# ============================================================
+# ALTERNATIVE EXAMPLE: ML Dataset Frame Extraction
+# To use this instead, uncomment the block below and comment out the block above.
+# 
+# name: "Chroma Key Frame Extraction Pipeline"
+# pipeline:
+#   # Trim the clip to the target segment
+#   - step: trim
+#     start: 1
+#     end: 5
+# 
+#   # Extract individual frames at a specified frame rate (FPS)
+#   # Note: When 'extract_frames' is present, the pipeline outputs
+#   # a folder of images instead of a single output video.
+#   - step: extract_frames
+#     fps: 2
+#     format: png
+# 
+#   # Remove chroma-key background color (e.g. green screen) from extracted frames
+#   - step: remove_background
+#     color: green
+#     similarity: 0.15
+#     blend: 0.05
+# 
+#   # Crop/resize frames for machine learning input
+#   - step: resize
+#     width: 512
+#     height: 512
+#     fit: crop
+# 
+#   # Convert and save frames to target format
+#   - step: convert
+#     format: png
+# ============================================================