diff --git a/.gitattributes b/.gitattributes index 6d4489b..ec3e7e8 100644 --- a/.gitattributes +++ b/.gitattributes @@ -1,6 +1 @@ -best_model/best_model.keras filter=lfs diff=lfs merge=lfs -text -model/saved_model/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text -model/tfjs_model/*.bin filter=lfs diff=lfs merge=lfs -text -**/best_model.keras filter=lfs diff=lfs merge=lfs -text -**/variables.data* filter=lfs diff=lfs merge=lfs -text -**/tfjs_model/*.bin filter=lfs diff=lfs merge=lfs -text +# Model artifacts are downloaded from Hugging Face at CI time — not stored in this repo. diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml index 305ed2d..e917049 100644 --- a/.github/workflows/deploy.yml +++ b/.github/workflows/deploy.yml @@ -28,8 +28,6 @@ jobs: steps: - name: Checkout repository uses: actions/checkout@v4 - with: - lfs: true - name: Set image prefix run: echo "IMAGE_PREFIX=ghcr.io/${GITHUB_REPOSITORY,,}" >> "$GITHUB_ENV" @@ -37,18 +35,33 @@ jobs: - name: Set up Docker Buildx uses: docker/setup-buildx-action@v3 - - name: Set up Python for ONNX conversion + - name: Set up Python for model download & export if: matrix.service.name == 'ml' uses: actions/setup-python@v5 with: python-version: '3.11' - - name: Generate ONNX model artifact + - name: Download model from Hugging Face & export ONNX if: matrix.service.name == 'ml' working-directory: Machine_Learning + env: + HF_TOKEN: ${{ secrets.HF_TOKEN }} run: | python -m pip install --upgrade pip - python -m pip install 'tensorflow>=2.13.0' 'tf2onnx>=1.16.1' 'onnx>=1.16.0' + python -m pip install 'tensorflow>=2.13.0' 'tf2onnx>=1.16.1' 'onnx>=1.16.0' 'huggingface_hub' + python -c " + from huggingface_hub import hf_hub_download + import os + os.makedirs('best_model', exist_ok=True) + path = hf_hub_download( + repo_id='MythEclipse2737/corn-leaf-disease-classifier', + filename='best_model.keras', + token=os.environ.get('HF_TOKEN'), + local_dir='best_model', + ) + print(f'Model downloaded to {path}') + " + python save_model.py python convert_onnx.py - name: Log in to GHCR diff --git a/Machine_Learning/model/model.tflite b/Machine_Learning/model/model.tflite deleted file mode 100644 index a2ff718..0000000 Binary files a/Machine_Learning/model/model.tflite and /dev/null differ diff --git a/Machine_Learning/model/saved_model/fingerprint.pb b/Machine_Learning/model/saved_model/fingerprint.pb deleted file mode 100644 index 3de3822..0000000 --- a/Machine_Learning/model/saved_model/fingerprint.pb +++ /dev/null @@ -1 +0,0 @@ -ȊћY̙ 헷({2:39606749746474394 \ No newline at end of file diff --git a/Machine_Learning/model/saved_model/saved_model.pb b/Machine_Learning/model/saved_model/saved_model.pb deleted file mode 100644 index f90dff4..0000000 Binary files a/Machine_Learning/model/saved_model/saved_model.pb and /dev/null differ diff --git a/Machine_Learning/model/saved_model/variables/variables.index b/Machine_Learning/model/saved_model/variables/variables.index deleted file mode 100644 index a7a26bb..0000000 Binary files a/Machine_Learning/model/saved_model/variables/variables.index and /dev/null differ diff --git a/Machine_Learning/model/tfjs_model/model.json b/Machine_Learning/model/tfjs_model/model.json deleted file mode 100644 index 89fc23d..0000000 --- a/Machine_Learning/model/tfjs_model/model.json +++ /dev/null @@ -1 +0,0 @@ -{"format": "graph-model", "generatedBy": "2.19.0", "convertedBy": "TensorFlow.js Converter v4.22.0", "signature": {"inputs": {"inputs": {"name": "inputs:0", "dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "-1"}, {"size": "224"}, {"size": "224"}, {"size": "3"}]}}}, "outputs": {"output_0": {"name": "Identity:0", "dtype": "DT_FLOAT", "tensorShape": {"dim": [{"size": "-1"}, {"size": "4"}]}}}}, "modelTopology": {"node": [{"name": "StatefulPartitionedCall/functional_6_1/batch_normalization_2_1/batchnorm/mul", "op": "Const", "attr": {"value": {"tensor": 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"StatefulPartitionedCall/functional_6_1/dense_1_2/Cast/ReadVariableOp", "shape": [1024, 4], "dtype": "float32"}, {"name": "StatefulPartitionedCall/functional_6_1/dense_1_2/BiasAdd/ReadVariableOp", "shape": [4], "dtype": "float32"}]}]} \ No newline at end of file diff --git a/REPORT-ddced09-to-8137057.md b/REPORT-ddced09-to-8137057.md new file mode 100644 index 0000000..efbd71c --- /dev/null +++ b/REPORT-ddced09-to-8137057.md @@ -0,0 +1,139 @@ +# 📊 Laporan Perubahan — `ddced09` → `8137057` (HEAD) + +**Periode:** 11 Juni 2026, 15:17 — 19:42 UTC +**Branch:** `main` +**Total commit:** 6 (ddced09 tidak termasuk, itu adalah base) + +--- + +## 📜 Daftar Commit + +| # | Hash | Tanggal | Deskripsi | +|---|------|---------|-----------| +| 1 | `b83b2e1` | 15:18 | **feat**: download dataset dari Google Drive saat running locally | +| 2 | `7a7e5b5` | 15:19 | **fix**: update Google Drive file ID ke link dataset yang benar | +| 3 | `8c65e33` | 16:31 | **chore**: clear notebook outputs dan tambah `.gitignore` | +| 4 | `c733f3b` | 16:39 | *WIP commit* | +| 5 | `4377be1` | 16:49 | **chore**: update notebook execution count dan outputs | +| 6 | `8137057` | 19:42 | *WIP commit — hasil kerja sesi Hugging Face integration* | + +--- + +## 📁 File yang Berubah (dari `ddced09` → HEAD) + +| File | Perubahan | Keterangan | +|------|-----------|------------| +| `Machine_Learning/notebook.ipynb` | +3,857/-348 | Notebook dual-compatible (Colab + local), section 1–18 lengkap | +| `Machine_Learning/.gitignore` | +19 (new) | Ignore `dataset/`, `dataset_split/`, `best_model/`, `model/`, dll | +| `Machine_Learning/requirements.txt` | +2 | Tambah `gdown` + `huggingface_hub` | +| `Machine_Learning/save_model.py` | 1 line | Fix: `sigmoid` → `softmax` di output layer | +| `Machine_Learning/upload_hf.py` | +258 (new) | Script export pipeline + upload ke Hugging Face | +| `model/model.tflite` | binary | Regenerated (softmax fix) | +| `model/saved_model/` | binary | Regenerated | + +**Total:** 9 file, +3,792 insertions, -348 deletions + +--- + +## 🔍 Detail Perubahan per Area + +### 1. Dataset Download (`b83b2e1`, `7a7e5b5`) + +- Tambah dependency `gdown` ke `requirements.txt` +- Notebook sekarang auto-download dataset dari Google Drive (`file_id: 1s0H2l...`) saat running locally jika file ZIP belum ada +- Colab path tetap pakai `drive.mount()` +- Drive file ID diupdate di commit `7a7e5b5` + +### 2. Notebook Restructuring (`ddced09` → `8c65e33` → `4377be1`) + +- Notebook direstruktur dari numbering 1/2/4 menjadi section bernomor rapi 1–17 (kemudian 18) +- Semua section punya header markdown yang deskriptif +- Hyperparameter (seed, IMG_SIZE, BATCH_SIZE) ditambahkan +- Import diperluas: `AdamW`, `compute_class_weight`, `preprocess_input`, `Counter`, `random` +- Mixed precision policy `float32` eksplisit +- Cell outputs cleared di commit `8c65e33` +- Execution count dan outputs diupdate di `4377be1` + +### 3. `.gitignore` (`8c65e33`) + +File baru `Machine_Learning/.gitignore` mengabaikan: +- `dataset/`, `dataset_split/`, `dataset_jagung.zip` +- `best_model/`, `model/` +- Path development lainnya (`node_modules/`, `.bun/`, `.moon/cache/`, `.env`, `dist/`, `build/`, `coverage/`, `venv/`, `.claude/`, dll) + +### 4. `save_model.py` Fix (`8137057`) + +```diff +- outputs = layers.Dense(num_classes, activation='sigmoid', dtype='float32')(x) ++ outputs = layers.Dense(num_classes, activation='softmax', dtype='float32')(x) +``` + +Perbaikan kritis: output 4 kelas harus softmax, bukan sigmoid. + +### 5. Hugging Face Upload (`8137057`) 🔥 **Fitur Baru** + +**`Machine_Learning/upload_hf.py`** — 258 lines script mandiri: + +``` +Pipeline: + save_model.py → convert_onnx.py → TFJS converter (optional) + → labels.json + README.md + → upload ke Hugging Face Hub +``` + +- Repo: `MythEclipse2737/corn-leaf-disease-classifier` +- Auth via `HF_TOKEN` env var +- TFJS conversion graceful-fail (protobuf version conflict known) +- Upload semua: `best_model.keras` (213MB) + TFLite + ONNX + SavedModel + TFJS (partial) + labels.json + README.md +- **Hasil:** 11 files terupload ke https://huggingface.co/MythEclipse2737/corn-leaf-disease-classifier + +**Notebook Section 18** — cell markdown + code untuk call `upload_hf.py` otomatis. + +--- + +## 📈 Working Tree (Uncommitted Changes) + +Saat ini **tidak ada uncommitted changes** — `8137057` adalah commit terakhir yang mencakup semua hasil kerja. + +--- + +## ✅ Ringkasan Outcome + +| Goal | Status | +|------|--------| +| Notebook dual-compatible (Colab + local) | ✅ | +| Auto-download dataset dari Google Drive | ✅ | +| `.gitignore` untuk artifacts besar | ✅ | +| Fix `sigmoid` → `softmax` | ✅ | +| Hugging Face integration (upload script + notebook section) | ✅ | +| Model artifacts uploaded to HF Hub | ✅ 11 files | +| Temporarily pinned to `MythEclipse2737/` namespace | ⚠️ not `zeavis-edu/` (no org access) | + +### Files on Hugging Face + +``` +MythEclipse2737/corn-leaf-disease-classifier +├── .gitattributes +├── README.md +├── best_model.keras (213 MB) +├── model/ +│ ├── labels.json +│ ├── model.onnx +│ ├── model.tflite +│ ├── saved_model/ +│ │ ├── fingerprint.pb +│ │ ├── saved_model.pb +│ │ └── variables/ +│ │ ├── variables.data-00000-of-00001 +│ │ └── variables.index +│ └── tfjs_model/ +│ └── model.json (partial — no weight shards) +``` + +--- + +## ⚠️ Catatan + +1. **TFJS converter gagal** karena protobuf version mismatch (`tensorflow_decision_forests` → `yggdrasil_decision_forests`). Model TF.js di HF hanya berisi `model.json` (metadata saja, tidak ada weight shards). Issue ini pre-existing dan tidak blocking. +2. **HF repo namespace**: pakai `MythEclipse2737/` karena token tidak punya write access ke `zeavis-edu/` org. +3. **Token HF terekspos** di chat — perlu di-rotate di https://huggingface.co/settings/tokens.