Remove local tool artifacts

.pytest_cache/.gitignore

@@ -1,2 +0,0 @@
-# Created by pytest automatically.
-*

.pytest_cache/CACHEDIR.TAG

@@ -1,4 +0,0 @@
-Signature: 8a477f597d28d172789f06886806bc55
-# This file is a cache directory tag created by pytest.
-# For information about cache directory tags, see:
-#	https://bford.info/cachedir/spec.html

.pytest_cache/README.md

@@ -1,8 +0,0 @@
-# pytest cache directory #
-
-This directory contains data from the pytest's cache plugin,
-which provides the `--lf` and `--ff` options, as well as the `cache` fixture.
-
-**Do not** commit this to version control.
-
-See [the docs](https://docs.pytest.org/en/stable/how-to/cache.html) for more information.

.pytest_cache/v/cache/lastfailed

@@ -1 +0,0 @@
-{}

.pytest_cache/v/cache/nodeids

@@ -1,5 +0,0 @@
-[
-  "tests/test_ssl_retrieval.py::test_degradation_ranking_and_metrics",
-  "tests/test_ssl_retrieval.py::test_manifest_and_pseudo_split",
-  "tests/test_ssl_retrieval.py::test_models_losses_and_checkpoint"
-]

.understand-anything/.understandignore

@@ -1,47 +0,0 @@
-# .understandignore — patterns for files/dirs to exclude from analysis
-# Syntax: same as .gitignore (globs, # comments, ! negation, trailing / for dirs)
-# Lines below are suggestions — uncomment to activate.
-# Use ! prefix to force-include something excluded by defaults.
-#
-# Built-in defaults (always excluded unless negated):
-#   node_modules/, .git/, dist/, build/, obj/, *.lock, *.min.js, etc.
-#
-
-# --- Test file patterns (uncomment to exclude) ---
-
-# JS / TS
-# *.test.*
-# *.spec.*
-# *.snap
-# C# / .NET
-# **/*Tests.cs
-# **/*Test.cs
-# **/*Fixture.cs
-# **/*.Tests.csproj
-# Java / Kotlin
-# **/src/test/**
-# **/*Test.java
-# **/*IT.java
-# **/*Spec.kt
-# Go
-# **/*_test.go
-# C++
-# **/*_test.cc
-# **/*_test.cpp
-# **/*_test.cxx
-# **/*Test.cc
-# **/*Test.cpp
-# **/*_unittest.cc
-# **/*_unittest.cpp
-# **/*_browsertest.cc
-# **/*_benchmark.cc
-# **/*Benchmark.cpp
-
-# Generated datasets, model caches, and analysis outputs
-data/
-feature_cache/
-eda_output/
-best_submission_analysis/
-*.csv
-*.zip
-__pycache__/

.understand-anything/config.json

@@ -1,3 +0,0 @@
-{
-  "outputLanguage": "vi"
-}

.understand-anything/intermediate/assembled-graph.json

@@ -1,1223 +0,0 @@
-{
-  "nodes": [
-    {
-      "id": "file:.understand-anything/.understandignore",
-      "type": "file",
-      "name": ".understandignore",
-      "filePath": ".understand-anything/.understandignore",
-      "summary": "Danh sách quy tắc loại trừ dùng khi quét project để knowledge graph bỏ qua dữ liệu, artifact sinh ra, cache và các file không cần phân tích.",
-      "tags": [
-        "configuration",
-        "ignore-rules",
-        "knowledge-graph"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "config:.understand-anything/config.json",
-      "type": "config",
-      "name": "config.json",
-      "filePath": ".understand-anything/config.json",
-      "summary": "Cấu hình Understand Anything chọn tiếng Việt làm ngôn ngữ đầu ra cho nội dung knowledge graph.",
-      "tags": [
-        "configuration",
-        "localization",
-        "knowledge-graph"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "file:baseline_dinov3.py",
-      "type": "file",
-      "name": "baseline_dinov3.py",
-      "filePath": "baseline_dinov3.py",
-      "summary": "Pipeline baseline dạng notebook-script dùng DINOv3/ConvNeXt để trích xuất embedding, tìm kiếm cosine, thử TTA và tạo submission cho image-to-image retrieval không nhãn. File còn cung cấp kiểm tra định dạng submission và trực quan hóa kết quả.",
-      "tags": [
-        "retrieval",
-        "feature-extraction",
-        "dinov3",
-        "entry-point"
-      ],
-      "complexity": "complex",
-      "languageNotes": "Python cell markers `# %%` cho phép chạy tuần tự như notebook; inference dùng PyTorch autocast và embedding chuẩn hóa L2."
-    },
-    {
-      "id": "document:de_bai_image_to_image_retrieval.md",
-      "type": "document",
-      "name": "de_bai_image_to_image_retrieval.md",
-      "filePath": "de_bai_image_to_image_retrieval.md",
-      "summary": "Đặc tả bài thi Olympic AI về instance retrieval không nhãn, gồm dữ liệu train/public/private test, định dạng top-10 submission, chỉ số mAP@10 và các ràng buộc chống suy diễn nhãn.",
-      "tags": [
-        "documentation",
-        "problem-specification",
-        "retrieval",
-        "evaluation"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "file:eda.py",
-      "type": "file",
-      "name": "eda.py",
-      "filePath": "eda.py",
-      "summary": "CLI EDA tái lập được cho dataset retrieval không nhãn: kiểm tra manifest và tính toàn vẹn ảnh, đo thống kê suy giảm/chuyển dịch phân phối, rồi xuất CSV, báo cáo Markdown và các grid/histogram.",
-      "tags": [
-        "entry-point",
-        "eda",
-        "data-validation",
-        "visualization"
-      ],
-      "complexity": "complex",
-      "languageNotes": "Tách backend Matplotlib `Agg` để chạy headless và dùng SHA-256 phát hiện ảnh trùng chính xác giữa các split."
-    },
-    {
-      "id": "file:notebook324f4a11f8_upgraded.ipynb",
-      "type": "file",
-      "name": "notebook324f4a11f8_upgraded.ipynb",
-      "filePath": "notebook324f4a11f8_upgraded.ipynb",
-      "summary": "Notebook thử nghiệm nâng cấp pipeline image retrieval, lưu cả code cell, metadata và output thực thi để nghiên cứu các biến thể feature extraction, ranking và chẩn đoán.",
-      "tags": [
-        "notebook",
-        "retrieval",
-        "experimentation",
-        "data-science"
-      ],
-      "complexity": "complex",
-      "languageNotes": "Định dạng Jupyter Notebook JSON gói code, kết quả và metadata trong một artifact lớn."
-    },
-    {
-      "id": "file:retrieval_advanced.py",
-      "type": "file",
-      "name": "retrieval_advanced.py",
-      "filePath": "retrieval_advanced.py",
-      "summary": "Pipeline retrieval nâng cao kết hợp max-over-D4 global similarity, dense symmetric-Chamfer reranking và SIFT/RANSAC geometric reranking. Feature được cache theo model, manifest và view; pipeline xuất submission cùng diagnostics không cần nhãn.",
-      "tags": [
-        "retrieval",
-        "reranking",
-        "feature-cache",
-        "dinov3",
-        "entry-point"
-      ],
-      "complexity": "complex",
-      "languageNotes": "Script dùng `# %%` như notebook, hỗ trợ cả tensor feature map của ConvNeXt và patch-token sequence của ViT/EVA."
-    },
-    {
-      "id": "function:baseline_dinov3.py:load_manifest",
-      "type": "function",
-      "name": "load_manifest",
-      "filePath": "baseline_dinov3.py",
-      "lineRange": [
-        43,
-        51
-      ],
-      "summary": "Đọc JSON manifest và xác thực từng bản ghi có `image_id` cùng `image_path`.",
-      "tags": [
-        "validation",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:baseline_dinov3.py:resolve_image_path",
-      "type": "function",
-      "name": "resolve_image_path",
-      "filePath": "baseline_dinov3.py",
-      "lineRange": [
-        54,
-        65
-      ],
-      "summary": "Thử các gốc đường dẫn hợp lệ để ánh xạ đường dẫn ảnh trong manifest tới file thực.",
-      "tags": [
-        "path-resolution",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "class:baseline_dinov3.py:RetrievalDataset",
-      "type": "class",
-      "name": "RetrievalDataset",
-      "filePath": "baseline_dinov3.py",
-      "lineRange": [
-        68,
-        91
-      ],
-      "summary": "Dataset PyTorch nạp ảnh RGB, áp dụng view transform tùy chọn rồi preprocessing cho backbone retrieval.",
-      "tags": [
-        "data-model",
-        "dataset",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:baseline_dinov3.py:extract_features",
-      "type": "function",
-      "name": "extract_features",
-      "filePath": "baseline_dinov3.py",
-      "lineRange": [
-        133,
-        150
-      ],
-      "summary": "Chạy inference theo batch, gom ID và trả embedding đã chuẩn hóa L2 sau global pooling khi cần.",
-      "tags": [
-        "feature-extraction",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:baseline_dinov3.py:validate_submission",
-      "type": "function",
-      "name": "validate_submission",
-      "filePath": "baseline_dinov3.py",
-      "lineRange": [
-        183,
-        198
-      ],
-      "summary": "Kiểm tra tập query, số lượng và tính duy nhất của top-k gallery ID trong submission.",
-      "tags": [
-        "validation",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:baseline_dinov3.py:extract_view",
-      "type": "function",
-      "name": "extract_view",
-      "filePath": "baseline_dinov3.py",
-      "lineRange": [
-        252,
-        255
-      ],
-      "summary": "Tạo dataset/loader cho một TTA view và chuyển tiếp sang bước trích xuất feature.",
-      "tags": [
-        "feature-extraction",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:baseline_dinov3.py:show_changed_top1",
-      "type": "function",
-      "name": "show_changed_top1",
-      "filePath": "baseline_dinov3.py",
-      "lineRange": [
-        333,
-        366
-      ],
-      "summary": "Trực quan hóa các query mà lựa chọn top-1 thay đổi giữa baseline và TTA, ưu tiên trường hợp score đổi mạnh.",
-      "tags": [
-        "visualization",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "complex"
-    },
-    {
-      "id": "function:baseline_dinov3.py:show_retrievals",
-      "type": "function",
-      "name": "show_retrievals",
-      "filePath": "baseline_dinov3.py",
-      "lineRange": [
-        373,
-        394
-      ],
-      "summary": "Vẽ query cùng các gallery candidate xếp hạng cao và score tương ứng để kiểm tra định tính.",
-      "tags": [
-        "visualization",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:eda.py:parse_args",
-      "type": "function",
-      "name": "parse_args",
-      "filePath": "eda.py",
-      "lineRange": [
-        43,
-        49
-      ],
-      "summary": "Khai báo tham số CLI cho thư mục dữ liệu, thư mục output, seed và kích thước grid.",
-      "tags": [
-        "cli",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:eda.py:load_manifest",
-      "type": "function",
-      "name": "load_manifest",
-      "filePath": "eda.py",
-      "lineRange": [
-        52,
-        60
-      ],
-      "summary": "Đọc manifest JSON và xác thực mỗi hàng chứa chuỗi `image_id` cùng `image_path`.",
-      "tags": [
-        "validation",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:eda.py:resolve_image",
-      "type": "function",
-      "name": "resolve_image",
-      "filePath": "eda.py",
-      "lineRange": [
-        63,
-        73
-      ],
-      "summary": "Giải đường dẫn ảnh tương đối qua các vị trí khả dĩ quanh data root và manifest.",
-      "tags": [
-        "path-resolution",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:eda.py:sha256",
-      "type": "function",
-      "name": "sha256",
-      "filePath": "eda.py",
-      "lineRange": [
-        76,
-        81
-      ],
-      "summary": "Tính SHA-256 theo chunk để nhận diện file ảnh trùng mà không nạp toàn bộ file vào RAM.",
-      "tags": [
-        "integrity-check",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:eda.py:image_metrics",
-      "type": "function",
-      "name": "image_metrics",
-      "filePath": "eda.py",
-      "lineRange": [
-        84,
-        104
-      ],
-      "summary": "Tính các chỉ số ảnh về độ sáng, màu, blur, entropy, high-frequency energy, vùng đen và mật độ cạnh.",
-      "tags": [
-        "image-analysis",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:eda.py:inspect_dataset",
-      "type": "function",
-      "name": "inspect_dataset",
-      "filePath": "eda.py",
-      "lineRange": [
-        107,
-        168
-      ],
-      "summary": "Duyệt mọi split, xác thực ID/path/file ảnh, phát hiện bản sao SHA-256 và thu thập metric thành DataFrame.",
-      "tags": [
-        "data-validation",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "complex"
-    },
-    {
-      "id": "function:eda.py:create_summary",
-      "type": "function",
-      "name": "create_summary",
-      "filePath": "eda.py",
-      "lineRange": [
-        171,
-        176
-      ],
-      "summary": "Tổng hợp count và thống kê mô tả của các metric số theo từng split.",
-      "tags": [
-        "aggregation",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:eda.py:thumbnail",
-      "type": "function",
-      "name": "thumbnail",
-      "filePath": "eda.py",
-      "lineRange": [
-        179,
-        181
-      ],
-      "summary": "Tạo thumbnail RGB vuông bằng phép fit Lanczos từ một ảnh nguồn.",
-      "tags": [
-        "image-processing",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:eda.py:save_grid",
-      "type": "function",
-      "name": "save_grid",
-      "filePath": "eda.py",
-      "lineRange": [
-        184,
-        200
-      ],
-      "summary": "Ghép các thumbnail cùng nhãn ID/split thành một ảnh grid để kiểm tra trực quan.",
-      "tags": [
-        "visualization",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:eda.py:save_grids",
-      "type": "function",
-      "name": "save_grids",
-      "filePath": "eda.py",
-      "lineRange": [
-        203,
-        218
-      ],
-      "summary": "Sinh grid mẫu ngẫu nhiên theo split và grid các trường hợp cực trị về blur, noise hay độ sáng.",
-      "tags": [
-        "visualization",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:eda.py:save_distributions",
-      "type": "function",
-      "name": "save_distributions",
-      "filePath": "eda.py",
-      "lineRange": [
-        221,
-        237
-      ],
-      "summary": "Vẽ histogram mật độ của các metric suy giảm cho train, gallery và query.",
-      "tags": [
-        "visualization",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:eda.py:write_integrity_report",
-      "type": "function",
-      "name": "write_integrity_report",
-      "filePath": "eda.py",
-      "lineRange": [
-        240,
-        262
-      ],
-      "summary": "Ghi báo cáo text về số dòng, trùng ID/path, file thiếu/hỏng và nhóm ảnh trùng hash.",
-      "tags": [
-        "reporting",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:eda.py:write_markdown_report",
-      "type": "function",
-      "name": "write_markdown_report",
-      "filePath": "eda.py",
-      "lineRange": [
-        265,
-        303
-      ],
-      "summary": "Ghi báo cáo Markdown tóm tắt dataset, median metric, distribution shift và hàm ý retrieval.",
-      "tags": [
-        "reporting",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "complex"
-    },
-    {
-      "id": "function:eda.py:main",
-      "type": "function",
-      "name": "main",
-      "filePath": "eda.py",
-      "lineRange": [
-        306,
-        337
-      ],
-      "summary": "Điều phối CLI EDA, kiểm tra input, tạo artifact và trả exit code phản ánh lỗi dữ liệu.",
-      "tags": [
-        "entry-point",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "complex"
-    },
-    {
-      "id": "function:retrieval_advanced.py:load_manifest",
-      "type": "function",
-      "name": "load_manifest",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        50,
-        58
-      ],
-      "summary": "Đọc và xác thực manifest ảnh dưới dạng danh sách các bản ghi ID/path.",
-      "tags": [
-        "validation",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:retrieval_advanced.py:resolve_image_path",
-      "type": "function",
-      "name": "resolve_image_path",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        61,
-        67
-      ],
-      "summary": "Giải đường dẫn ảnh tương đối từ data root hoặc các thư mục cha của manifest.",
-      "tags": [
-        "path-resolution",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:retrieval_advanced.py:apply_d4",
-      "type": "function",
-      "name": "apply_d4",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        80,
-        93
-      ],
-      "summary": "Áp dụng một trong tám phép biến đổi nhóm D4 gồm quay và lật ảnh.",
-      "tags": [
-        "augmentation",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "class:retrieval_advanced.py:ImageDataset",
-      "type": "class",
-      "name": "ImageDataset",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        96,
-        110
-      ],
-      "summary": "Dataset PyTorch nạp ảnh RGB, bảo toàn kích thước qua D4 view rồi áp dụng transform của model.",
-      "tags": [
-        "data-model",
-        "dataset",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:retrieval_advanced.py:cache_key",
-      "type": "function",
-      "name": "cache_key",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        114,
-        118
-      ],
-      "summary": "Băm nội dung manifest cùng model, split, view và phiên bản dense feature để định danh cache.",
-      "tags": [
-        "feature-cache",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:retrieval_advanced.py:cache_path",
-      "type": "function",
-      "name": "cache_path",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        121,
-        123
-      ],
-      "summary": "Tạo đường dẫn cache feature an toàn từ tên model và cache key.",
-      "tags": [
-        "feature-cache",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:retrieval_advanced.py:split_global_dense",
-      "type": "function",
-      "name": "split_global_dense",
-      "filePath": "retrieval_advanced.py",
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-        146
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-        "utility",
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-      "complexity": "moderate"
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-      "name": "extract_and_cache",
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-        186
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-      "summary": "Tái sử dụng cache hợp lệ hoặc chạy batched inference để lưu global và dense feature theo D4 view.",
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-      "filePath": "retrieval_advanced.py",
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-      "filePath": "retrieval_advanced.py",
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-        396
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-      "target": "function:retrieval_advanced.py:show_top1_comparison",
-      "type": "contains",
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-      "weight": 1
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-    {
-      "source": "file:retrieval_advanced.py",
-      "target": "function:retrieval_advanced.py:show_top1_comparison",
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-}

.understand-anything/intermediate/batch-1.json

@@ -1,1224 +0,0 @@
-{
-  "nodes": [
-    {
-      "id": "file:.understand-anything/.understandignore",
-      "type": "file",
-      "name": ".understandignore",
-      "filePath": ".understand-anything/.understandignore",
-      "summary": "Danh sách quy tắc loại trừ dùng khi quét project để knowledge graph bỏ qua dữ liệu, artifact sinh ra, cache và các file không cần phân tích.",
-      "tags": [
-        "configuration",
-        "ignore-rules",
-        "knowledge-graph"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "config:.understand-anything/config.json",
-      "type": "config",
-      "name": "config.json",
-      "filePath": ".understand-anything/config.json",
-      "summary": "Cấu hình Understand Anything chọn tiếng Việt làm ngôn ngữ đầu ra cho nội dung knowledge graph.",
-      "tags": [
-        "configuration",
-        "localization",
-        "knowledge-graph"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "file:baseline_dinov3.py",
-      "type": "file",
-      "name": "baseline_dinov3.py",
-      "filePath": "baseline_dinov3.py",
-      "summary": "Pipeline baseline dạng notebook-script dùng DINOv3/ConvNeXt để trích xuất embedding, tìm kiếm cosine, thử TTA và tạo submission cho image-to-image retrieval không nhãn. File còn cung cấp kiểm tra định dạng submission và trực quan hóa kết quả.",
-      "tags": [
-        "retrieval",
-        "feature-extraction",
-        "dinov3",
-        "entry-point"
-      ],
-      "complexity": "complex",
-      "languageNotes": "Python cell markers `# %%` cho phép chạy tuần tự như notebook; inference dùng PyTorch autocast và embedding chuẩn hóa L2."
-    },
-    {
-      "id": "document:de_bai_image_to_image_retrieval.md",
-      "type": "document",
-      "name": "de_bai_image_to_image_retrieval.md",
-      "filePath": "de_bai_image_to_image_retrieval.md",
-      "summary": "Đặc tả bài thi Olympic AI về instance retrieval không nhãn, gồm dữ liệu train/public/private test, định dạng top-10 submission, chỉ số mAP@10 và các ràng buộc chống suy diễn nhãn.",
-      "tags": [
-        "documentation",
-        "problem-specification",
-        "retrieval",
-        "evaluation"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "file:eda.py",
-      "type": "file",
-      "name": "eda.py",
-      "filePath": "eda.py",
-      "summary": "CLI EDA tái lập được cho dataset retrieval không nhãn: kiểm tra manifest và tính toàn vẹn ảnh, đo thống kê suy giảm/chuyển dịch phân phối, rồi xuất CSV, báo cáo Markdown và các grid/histogram.",
-      "tags": [
-        "entry-point",
-        "eda",
-        "data-validation",
-        "visualization"
-      ],
-      "complexity": "complex",
-      "languageNotes": "Tách backend Matplotlib `Agg` để chạy headless và dùng SHA-256 phát hiện ảnh trùng chính xác giữa các split."
-    },
-    {
-      "id": "file:notebook324f4a11f8_upgraded.ipynb",
-      "type": "file",
-      "name": "notebook324f4a11f8_upgraded.ipynb",
-      "filePath": "notebook324f4a11f8_upgraded.ipynb",
-      "summary": "Notebook thử nghiệm nâng cấp pipeline image retrieval, lưu cả code cell, metadata và output thực thi để nghiên cứu các biến thể feature extraction, ranking và chẩn đoán.",
-      "tags": [
-        "notebook",
-        "retrieval",
-        "experimentation",
-        "data-science"
-      ],
-      "complexity": "complex",
-      "languageNotes": "Định dạng Jupyter Notebook JSON gói code, kết quả và metadata trong một artifact lớn."
-    },
-    {
-      "id": "file:retrieval_advanced.py",
-      "type": "file",
-      "name": "retrieval_advanced.py",
-      "filePath": "retrieval_advanced.py",
-      "summary": "Pipeline retrieval nâng cao kết hợp max-over-D4 global similarity, dense symmetric-Chamfer reranking và SIFT/RANSAC geometric reranking. Feature được cache theo model, manifest và view; pipeline xuất submission cùng diagnostics không cần nhãn.",
-      "tags": [
-        "retrieval",
-        "reranking",
-        "feature-cache",
-        "dinov3",
-        "entry-point"
-      ],
-      "complexity": "complex",
-      "languageNotes": "Script dùng `# %%` như notebook, hỗ trợ cả tensor feature map của ConvNeXt và patch-token sequence của ViT/EVA."
-    },
-    {
-      "id": "function:baseline_dinov3.py:load_manifest",
-      "type": "function",
-      "name": "load_manifest",
-      "filePath": "baseline_dinov3.py",
-      "lineRange": [
-        43,
-        51
-      ],
-      "summary": "Đọc JSON manifest và xác thực từng bản ghi có `image_id` cùng `image_path`.",
-      "tags": [
-        "validation",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:baseline_dinov3.py:resolve_image_path",
-      "type": "function",
-      "name": "resolve_image_path",
-      "filePath": "baseline_dinov3.py",
-      "lineRange": [
-        54,
-        65
-      ],
-      "summary": "Thử các gốc đường dẫn hợp lệ để ánh xạ đường dẫn ảnh trong manifest tới file thực.",
-      "tags": [
-        "path-resolution",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "class:baseline_dinov3.py:RetrievalDataset",
-      "type": "class",
-      "name": "RetrievalDataset",
-      "filePath": "baseline_dinov3.py",
-      "lineRange": [
-        68,
-        91
-      ],
-      "summary": "Dataset PyTorch nạp ảnh RGB, áp dụng view transform tùy chọn rồi preprocessing cho backbone retrieval.",
-      "tags": [
-        "data-model",
-        "dataset",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:baseline_dinov3.py:extract_features",
-      "type": "function",
-      "name": "extract_features",
-      "filePath": "baseline_dinov3.py",
-      "lineRange": [
-        133,
-        150
-      ],
-      "summary": "Chạy inference theo batch, gom ID và trả embedding đã chuẩn hóa L2 sau global pooling khi cần.",
-      "tags": [
-        "feature-extraction",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:baseline_dinov3.py:validate_submission",
-      "type": "function",
-      "name": "validate_submission",
-      "filePath": "baseline_dinov3.py",
-      "lineRange": [
-        183,
-        198
-      ],
-      "summary": "Kiểm tra tập query, số lượng và tính duy nhất của top-k gallery ID trong submission.",
-      "tags": [
-        "validation",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:baseline_dinov3.py:extract_view",
-      "type": "function",
-      "name": "extract_view",
-      "filePath": "baseline_dinov3.py",
-      "lineRange": [
-        252,
-        255
-      ],
-      "summary": "Tạo dataset/loader cho một TTA view và chuyển tiếp sang bước trích xuất feature.",
-      "tags": [
-        "feature-extraction",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:baseline_dinov3.py:show_changed_top1",
-      "type": "function",
-      "name": "show_changed_top1",
-      "filePath": "baseline_dinov3.py",
-      "lineRange": [
-        333,
-        366
-      ],
-      "summary": "Trực quan hóa các query mà lựa chọn top-1 thay đổi giữa baseline và TTA, ưu tiên trường hợp score đổi mạnh.",
-      "tags": [
-        "visualization",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "complex"
-    },
-    {
-      "id": "function:baseline_dinov3.py:show_retrievals",
-      "type": "function",
-      "name": "show_retrievals",
-      "filePath": "baseline_dinov3.py",
-      "lineRange": [
-        373,
-        394
-      ],
-      "summary": "Vẽ query cùng các gallery candidate xếp hạng cao và score tương ứng để kiểm tra định tính.",
-      "tags": [
-        "visualization",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:eda.py:parse_args",
-      "type": "function",
-      "name": "parse_args",
-      "filePath": "eda.py",
-      "lineRange": [
-        43,
-        49
-      ],
-      "summary": "Khai báo tham số CLI cho thư mục dữ liệu, thư mục output, seed và kích thước grid.",
-      "tags": [
-        "cli",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:eda.py:load_manifest",
-      "type": "function",
-      "name": "load_manifest",
-      "filePath": "eda.py",
-      "lineRange": [
-        52,
-        60
-      ],
-      "summary": "Đọc manifest JSON và xác thực mỗi hàng chứa chuỗi `image_id` cùng `image_path`.",
-      "tags": [
-        "validation",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:eda.py:resolve_image",
-      "type": "function",
-      "name": "resolve_image",
-      "filePath": "eda.py",
-      "lineRange": [
-        63,
-        73
-      ],
-      "summary": "Giải đường dẫn ảnh tương đối qua các vị trí khả dĩ quanh data root và manifest.",
-      "tags": [
-        "path-resolution",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:eda.py:sha256",
-      "type": "function",
-      "name": "sha256",
-      "filePath": "eda.py",
-      "lineRange": [
-        76,
-        81
-      ],
-      "summary": "Tính SHA-256 theo chunk để nhận diện file ảnh trùng mà không nạp toàn bộ file vào RAM.",
-      "tags": [
-        "integrity-check",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:eda.py:image_metrics",
-      "type": "function",
-      "name": "image_metrics",
-      "filePath": "eda.py",
-      "lineRange": [
-        84,
-        104
-      ],
-      "summary": "Tính các chỉ số ảnh về độ sáng, màu, blur, entropy, high-frequency energy, vùng đen và mật độ cạnh.",
-      "tags": [
-        "image-analysis",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:eda.py:inspect_dataset",
-      "type": "function",
-      "name": "inspect_dataset",
-      "filePath": "eda.py",
-      "lineRange": [
-        107,
-        168
-      ],
-      "summary": "Duyệt mọi split, xác thực ID/path/file ảnh, phát hiện bản sao SHA-256 và thu thập metric thành DataFrame.",
-      "tags": [
-        "data-validation",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "complex"
-    },
-    {
-      "id": "function:eda.py:create_summary",
-      "type": "function",
-      "name": "create_summary",
-      "filePath": "eda.py",
-      "lineRange": [
-        171,
-        176
-      ],
-      "summary": "Tổng hợp count và thống kê mô tả của các metric số theo từng split.",
-      "tags": [
-        "aggregation",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:eda.py:thumbnail",
-      "type": "function",
-      "name": "thumbnail",
-      "filePath": "eda.py",
-      "lineRange": [
-        179,
-        181
-      ],
-      "summary": "Tạo thumbnail RGB vuông bằng phép fit Lanczos từ một ảnh nguồn.",
-      "tags": [
-        "image-processing",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:eda.py:save_grid",
-      "type": "function",
-      "name": "save_grid",
-      "filePath": "eda.py",
-      "lineRange": [
-        184,
-        200
-      ],
-      "summary": "Ghép các thumbnail cùng nhãn ID/split thành một ảnh grid để kiểm tra trực quan.",
-      "tags": [
-        "visualization",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:eda.py:save_grids",
-      "type": "function",
-      "name": "save_grids",
-      "filePath": "eda.py",
-      "lineRange": [
-        203,
-        218
-      ],
-      "summary": "Sinh grid mẫu ngẫu nhiên theo split và grid các trường hợp cực trị về blur, noise hay độ sáng.",
-      "tags": [
-        "visualization",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:eda.py:save_distributions",
-      "type": "function",
-      "name": "save_distributions",
-      "filePath": "eda.py",
-      "lineRange": [
-        221,
-        237
-      ],
-      "summary": "Vẽ histogram mật độ của các metric suy giảm cho train, gallery và query.",
-      "tags": [
-        "visualization",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:eda.py:write_integrity_report",
-      "type": "function",
-      "name": "write_integrity_report",
-      "filePath": "eda.py",
-      "lineRange": [
-        240,
-        262
-      ],
-      "summary": "Ghi báo cáo text về số dòng, trùng ID/path, file thiếu/hỏng và nhóm ảnh trùng hash.",
-      "tags": [
-        "reporting",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:eda.py:write_markdown_report",
-      "type": "function",
-      "name": "write_markdown_report",
-      "filePath": "eda.py",
-      "lineRange": [
-        265,
-        303
-      ],
-      "summary": "Ghi báo cáo Markdown tóm tắt dataset, median metric, distribution shift và hàm ý retrieval.",
-      "tags": [
-        "reporting",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "complex"
-    },
-    {
-      "id": "function:eda.py:main",
-      "type": "function",
-      "name": "main",
-      "filePath": "eda.py",
-      "lineRange": [
-        306,
-        337
-      ],
-      "summary": "Điều phối CLI EDA, kiểm tra input, tạo artifact và trả exit code phản ánh lỗi dữ liệu.",
-      "tags": [
-        "entry-point",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "complex"
-    },
-    {
-      "id": "function:retrieval_advanced.py:load_manifest",
-      "type": "function",
-      "name": "load_manifest",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        50,
-        58
-      ],
-      "summary": "Đọc và xác thực manifest ảnh dưới dạng danh sách các bản ghi ID/path.",
-      "tags": [
-        "validation",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:retrieval_advanced.py:resolve_image_path",
-      "type": "function",
-      "name": "resolve_image_path",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        61,
-        67
-      ],
-      "summary": "Giải đường dẫn ảnh tương đối từ data root hoặc các thư mục cha của manifest.",
-      "tags": [
-        "path-resolution",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:retrieval_advanced.py:apply_d4",
-      "type": "function",
-      "name": "apply_d4",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        80,
-        93
-      ],
-      "summary": "Áp dụng một trong tám phép biến đổi nhóm D4 gồm quay và lật ảnh.",
-      "tags": [
-        "augmentation",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "class:retrieval_advanced.py:ImageDataset",
-      "type": "class",
-      "name": "ImageDataset",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        96,
-        110
-      ],
-      "summary": "Dataset PyTorch nạp ảnh RGB, bảo toàn kích thước qua D4 view rồi áp dụng transform của model.",
-      "tags": [
-        "data-model",
-        "dataset",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:retrieval_advanced.py:cache_key",
-      "type": "function",
-      "name": "cache_key",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        114,
-        118
-      ],
-      "summary": "Băm nội dung manifest cùng model, split, view và phiên bản dense feature để định danh cache.",
-      "tags": [
-        "feature-cache",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:retrieval_advanced.py:cache_path",
-      "type": "function",
-      "name": "cache_path",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        121,
-        123
-      ],
-      "summary": "Tạo đường dẫn cache feature an toàn từ tên model và cache key.",
-      "tags": [
-        "feature-cache",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:retrieval_advanced.py:split_global_dense",
-      "type": "function",
-      "name": "split_global_dense",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        126,
-        146
-      ],
-      "summary": "Chuyển output backbone thành global embedding và dense spatial descriptors chuẩn hóa, hỗ trợ ConvNeXt lẫn ViT/EVA.",
-      "tags": [
-        "feature-extraction",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:retrieval_advanced.py:extract_and_cache",
-      "type": "function",
-      "name": "extract_and_cache",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        150,
-        186
-      ],
-      "summary": "Tái sử dụng cache hợp lệ hoặc chạy batched inference để lưu global và dense feature theo D4 view.",
-      "tags": [
-        "feature-cache",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "complex"
-    },
-    {
-      "id": "function:retrieval_advanced.py:make_submission",
-      "type": "function",
-      "name": "make_submission",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        247,
-        258
-      ],
-      "summary": "Chuyển ranking tensor thành CSV top-10, đồng thời xác thực query và gallery ID không trùng.",
-      "tags": [
-        "serialization",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:retrieval_advanced.py:row_minmax",
-      "type": "function",
-      "name": "row_minmax",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        266,
-        268
-      ],
-      "summary": "Chuẩn hóa từng hàng score về khoảng min-max với mẫu số được chặn để tránh chia cho zero.",
-      "tags": [
-        "normalization",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:retrieval_advanced.py:local_features",
-      "type": "function",
-      "name": "local_features",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        297,
-        304
-      ],
-      "summary": "Phóng to ảnh xám, tăng tương phản CLAHE và trích xuất SIFT keypoint/descriptor.",
-      "tags": [
-        "feature-extraction",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:retrieval_advanced.py:geometric_score",
-      "type": "function",
-      "name": "geometric_score",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        307,
-        322
-      ],
-      "summary": "Ghép SIFT bằng ratio test, ước lượng homography RANSAC và tạo score từ số lượng cùng tỷ lệ inlier.",
-      "tags": [
-        "geometric-verification",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    },
-    {
-      "id": "function:retrieval_advanced.py:overlap",
-      "type": "function",
-      "name": "overlap",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        349,
-        350
-      ],
-      "summary": "Tính overlap trung bình giữa hai tập top-k ranking cho mọi query.",
-      "tags": [
-        "evaluation",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "simple"
-    },
-    {
-      "id": "function:retrieval_advanced.py:show_top1_comparison",
-      "type": "function",
-      "name": "show_top1_comparison",
-      "filePath": "retrieval_advanced.py",
-      "lineRange": [
-        379,
-        396
-      ],
-      "summary": "Vẽ top-1 của global, dense và geometry cạnh query để so sánh định tính.",
-      "tags": [
-        "visualization",
-        "utility",
-        "retrieval"
-      ],
-      "complexity": "moderate"
-    }
-  ],
-  "edges": [
-    {
-      "source": "file:baseline_dinov3.py",
-      "target": "function:baseline_dinov3.py:load_manifest",
-      "type": "contains",
-      "direction": "forward",
-      "weight": 1
-    },
-    {
-      "source": "file:baseline_dinov3.py",
-      "target": "function:baseline_dinov3.py:load_manifest",
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-      "source": "file:baseline_dinov3.py",
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-      "direction": "forward",
-      "weight": 1
-    },
-    {
-      "source": "file:baseline_dinov3.py",
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-      "source": "file:baseline_dinov3.py",
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-      "weight": 1
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-    {
-      "source": "file:baseline_dinov3.py",
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-{
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.understand-anything/intermediate/scan-result.json

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-{
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.understand-anything/tmp/ua-file-analyzer-input-1.json

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-{
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.understand-anything/tmp/ua-file-extract-results-1.json

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-{
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