# algo_qq_browser

**Repository Path**: NotF404/algo_qq_browser

## Basic Information

- **Project Name**: algo_qq_browser
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-08-27
- **Last Updated**: 2021-09-14

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

### [Multimodal Video Similarity Challenge](https://algo.browser.qq.com/)
#### [@CIKM 2021](https://www.cikm2021.org/analyticup) 
This is the official pytorch version baseline built on our lichee framework
 
#### 1. data
Please download the 'data' directory and verify the integrity first, then prepare 'data' according to [data/README.md](data/README.md)
 
#### 2. code description
- [lichee](lichee) is our multimodal training framework
- [module](module) is the demo model dependency
- [embedding_example.yaml](embedding_example.yaml) is a demo config
- [main.py](main.py) is the main entry
- [read_tf_record_example.py](read_tf_record_example.py) is a demo for tfrecords parsing

#### 3. Install the dependency
```bash
pip install -r requirements.txt
```

#### 4. Train：
```bash
python main.py \
--trainer=embedding_trainer \
--model_config_file=embedding_example.yaml
```

#### 5. Validate：
```bash
python main.py \
--trainer=embedding_trainer \
--model_config_file=embedding_example.yaml \
--mode=eval \
--checkpoint=your_check_point.bin \
--dataset=SPEARMAN_EVAL  # the validation DATASET key in embedding_example.yaml
```

#### 6. Test
```bash
python main.py \
--trainer=embedding_trainer \
--model_config_file=embedding_example.yaml \
--mode=test \
--checkpoint=your_check_point.bin \
--dataset=SPEARMAN_TEST_A  # the test DATASET key in embedding_example.yaml
```