readme updates + ego4d download updates

.gitignore

@@ -4,4 +4,5 @@ ego4d/frames/
 *.pyc
 __pycache__/
 
-ego4d/process_ego4d_specs.py
+ego4d/process_ego4d_specs.py
+ego4d/ego4d_full_videos/

README.md

@@ -15,6 +15,19 @@ configs:
     - "lvos/annotations/**"
 ---
 
+<div align="center">
+<h1> Is This Tracker On? A Benchmark Protocol for Dynamic Tracking </h1>
+</div>
+
+<div align="center">
+  <!-- <a href="#model">Model</a> • -->
+  🌐 <a href="http://131.215.140.160:8000/">Project Website</a> |
+  <!-- 🏆 <a href="https://hkust-nlp.github.io/agentboard/static/leaderboard.html">Leaderboard</a> | -->
+  💻 <a href="https://github.com/ilonadem/itto/tree/main">Code</a> |
+  📚 <a href=" ">Paper</a>
+
+</div>
+
 # Dataset card for ITTO
 
 ITTO is a challenging new benchmark suite for evaluating and diagnosing the capabilities and limitations of point tracking methods.
@@ -46,6 +59,6 @@ pip install ego4d
 bash ego4d/install_ego4d.sh
 ```
 
-## Runnin Evaluations with ITTO
+## Running Evaluations with ITTO
 
 We provide evaluation scripts in the [ITTO github repo](https://github.com/ilonadem/itto), which contains dataloaders and model evaluation scripts for the numbers reported in the paper.

ego4d/metadata/04046863-98c0-42a8-90f9-4191013cc252.json

@@ -0,0 +1,23 @@
+{
+    "video_id": "04046863-98c0-42a8-90f9-4191013cc252",
+    "video_name": "04046863-98c0-42a8-90f9-4191013cc252",
+    "original_fps": 30.0,
+    "chosen_fps": 10.0,
+    "stride": 5,
+    "start_sec": 26,
+    "end_sec": 56,
+    "num_output_frames": 143,
+    "original_video_shape": [
+        450,
+        3,
+        1080,
+        1920
+    ],
+    "cropped_video_shape": [
+        134,
+        3,
+        1080,
+        1920
+    ],
+    "offset": 1
+}

ego4d/metadata/127392a3-036a-4af6-9db9-ca00141229db.json

@@ -0,0 +1,23 @@
+{
+    "video_id": "127392a3-036a-4af6-9db9-ca00141229db",
+    "video_name": "127392a3-036a-4af6-9db9-ca00141229db",
+    "original_fps": 30.0,
+    "chosen_fps": 10.0,
+    "stride": 5,
+    "start_sec": 26,
+    "end_sec": 56,
+    "num_output_frames": 143,
+    "original_video_shape": [
+        450,
+        3,
+        1080,
+        1920
+    ],
+    "cropped_video_shape": [
+        134,
+        3,
+        1080,
+        1920
+    ],
+    "offset": 1
+}

ego4d/metadata/366b71ad-3f35-4704-b6ef-e793c7e73ac6.json

@@ -0,0 +1,23 @@
+{
+    "video_id": "366b71ad-3f35-4704-b6ef-e793c7e73ac6",
+    "video_name": "366b71ad-3f35-4704-b6ef-e793c7e73ac6",
+    "original_fps": 30.0,
+    "chosen_fps": 10.0,
+    "stride": 5,
+    "start_sec": 26,
+    "end_sec": 56,
+    "num_output_frames": 143,
+    "original_video_shape": [
+        450,
+        3,
+        1080,
+        1920
+    ],
+    "cropped_video_shape": [
+        134,
+        3,
+        1080,
+        1920
+    ],
+    "offset": 1
+}

ego4d/metadata/426eb9d9-d4cf-4acc-9efb-979f61a5be91.json

@@ -0,0 +1,23 @@
+{
+    "video_id": "426eb9d9-d4cf-4acc-9efb-979f61a5be91",
+    "video_name": "426eb9d9-d4cf-4acc-9efb-979f61a5be91",
+    "original_fps": 30.0,
+    "chosen_fps": 10.0,
+    "stride": 5,
+    "start_sec": 26,
+    "end_sec": 56,
+    "num_output_frames": 143,
+    "original_video_shape": [
+        450,
+        3,
+        1080,
+        1920
+    ],
+    "cropped_video_shape": [
+        134,
+        3,
+        1080,
+        1920
+    ],
+    "offset": 1
+}

ego4d/metadata/4675859e-620c-493a-b1e7-27c347074783.json

@@ -0,0 +1,23 @@
+{
+    "video_id": "4675859e-620c-493a-b1e7-27c347074783",
+    "video_name": "4675859e-620c-493a-b1e7-27c347074783",
+    "original_fps": 30.0,
+    "chosen_fps": 10.0,
+    "stride": 5,
+    "start_sec": 26,
+    "end_sec": 56,
+    "num_output_frames": 143,
+    "original_video_shape": [
+        450,
+        3,
+        1080,
+        1920
+    ],
+    "cropped_video_shape": [
+        134,
+        3,
+        1080,
+        1920
+    ],
+    "offset": 1
+}

ego4d/metadata/b8b4fc74-e036-4731-ae03-4bfab7fd47b9.json

@@ -0,0 +1,23 @@
+{
+    "video_id": "b8b4fc74-e036-4731-ae03-4bfab7fd47b9",
+    "video_name": "b8b4fc74-e036-4731-ae03-4bfab7fd47b9",
+    "original_fps": 30.0,
+    "chosen_fps": 10.0,
+    "stride": 5,
+    "start_sec": 35,
+    "end_sec": 65,
+    "num_output_frames": 143,
+    "original_video_shape": [
+        450,
+        3,
+        1080,
+        1920
+    ],
+    "cropped_video_shape": [
+        134,
+        3,
+        1080,
+        1920
+    ],
+    "offset": 1
+}

ego4d/metadata/be462bcf-13ad-446a-8dfb-248cb2e3417a.json

@@ -0,0 +1,23 @@
+{
+    "video_id": "be462bcf-13ad-446a-8dfb-248cb2e3417a",
+    "video_name": "be462bcf-13ad-446a-8dfb-248cb2e3417a",
+    "original_fps": 30.0,
+    "chosen_fps": 10.0,
+    "stride": 5,
+    "start_sec": 26,
+    "end_sec": 56,
+    "num_output_frames": 143,
+    "original_video_shape": [
+        450,
+        3,
+        1080,
+        1920
+    ],
+    "cropped_video_shape": [
+        134,
+        3,
+        1080,
+        1920
+    ],
+    "offset": 0
+}

ego4d/metadata/f42ae9c2-d43e-45af-8adb-02d0b16b2ef7.json

@@ -0,0 +1,23 @@
+{
+    "video_id": "f42ae9c2-d43e-45af-8adb-02d0b16b2ef7",
+    "video_name": "f42ae9c2-d43e-45af-8adb-02d0b16b2ef7",
+    "original_fps": 30.0,
+    "chosen_fps": 10.0,
+    "stride": 5,
+    "start_sec": 26,
+    "end_sec": 56,
+    "num_output_frames": 143,
+    "original_video_shape": [
+        450,
+        3,
+        1080,
+        1920
+    ],
+    "cropped_video_shape": [
+        134,
+        3,
+        1080,
+        1920
+    ],
+    "offset": 1
+}

ego4d/metadata/fa6386e1-82ba-4c67-b217-e11640546582.json

@@ -0,0 +1,23 @@
+{
+    "video_id": "fa6386e1-82ba-4c67-b217-e11640546582",
+    "video_name": "fa6386e1-82ba-4c67-b217-e11640546582",
+    "original_fps": 30.0,
+    "chosen_fps": 10.0,
+    "stride": 5,
+    "start_sec": 26,
+    "end_sec": 56,
+    "num_output_frames": 143,
+    "original_video_shape": [
+        450,
+        3,
+        1080,
+        1920
+    ],
+    "cropped_video_shape": [
+        134,
+        3,
+        1080,
+        1920
+    ],
+    "offset": 1
+}

ego4d/process_ego4d_videos.py

@@ -15,8 +15,10 @@ def md5(path):
             h.update(chunk)
     return h.hexdigest()
 
+
 metadata_path = "metadata"
-json_list = os.listdir(metadata_path)
+# json_list = os.listdir(metadata_path)
+json_list = ["426eb9d9-d4cf-4acc-9efb-979f61a5be91.json"]
 
 for json_file in json_list:
     with open(os.path.join("metadata", json_file), "r") as f:
@@ -32,7 +34,7 @@ for json_file in json_list:
     stride = metadata["stride"]
 
     # save paths
-    video_path = f"ego4d_videos/v2/full_scale/{video_id}.mp4"
+    video_path = f"ego4d_full_videos/v2/full_scale/{video_id}.mp4"
     save_dir = f"frames/{video_name}"
 
     print("\n PROCESSING VIDEO ", video_name)
@@ -57,7 +59,7 @@ for json_file in json_list:
     print(f"Saved {len(cropped_vid)} frames to {save_dir}")
 
     # # TODO(ilona) - remove this later
-    # # checks that current dataset aligns with the files that we have !! 
+    # # checks that current dataset aligns with the files that we have !!
     # for frame_number in [f"{i:06d}" for i in range(0, num_output_frames)]:
     #     paths = [
     #         f"/data/ilona/datasets/ego4d/ego4d_chosen_videos/{video_name}/rgb_frames/{frame_number}.jpg",
@@ -100,4 +102,3 @@ for json_file in json_list:
     #         print("stride: ", stride)
     #         print("mean abs error: ", mae)
     #         print("psnr: ", psnr)
-

ego4d/uids_test.txt

@@ -0,0 +1,9 @@
+be462bcf-13ad-446a-8dfb-248cb2e3417a
+426eb9d9-d4cf-4acc-9efb-979f61a5be91
+fa6386e1-82ba-4c67-b217-e11640546582
+366b71ad-3f35-4704-b6ef-e793c7e73ac6
+f42ae9c2-d43e-45af-8adb-02d0b16b2ef7 
+04046863-98c0-42a8-90f9-4191013cc252
+127392a3-036a-4af6-9db9-ca00141229db
+4675859e-620c-493a-b1e7-27c347074783
+b8b4fc74-e036-4731-ae03-4bfab7fd47b9