0.0.14: DataLoader now support video and streaming

- Added `Hub` for resource management
- Updated `DataLoader` to support video and streaming
- Updated `CI`
- Replaced `println!` with `tracing` for logging

examples/clip/README.md

@@ -6,12 +6,6 @@ This demo showcases how to use [CLIP](https://github.com/openai/CLIP) to compute
 cargo run -r --example clip
 ```
 
-## CLIP ONNX Model
-
-- [clip-b32-visual](https://github.com/jamjamjon/assets/releases/download/v0.0.1/clip-b32-visual.onnx)  
-- [clip-b32-textual](https://github.com/jamjamjon/assets/releases/download/v0.0.1/clip-b32-textual.onnx)
-
-
 ## Results
 
 ```shell

examples/clip/main.rs

@@ -3,14 +3,14 @@ use usls::{models::Clip, DataLoader, Options};
 fn main() -> Result<(), Box<dyn std::error::Error>> {
     // visual
     let options_visual = Options::default()
-        .with_model("clip-b32-visual-dyn.onnx")?
+        .with_model("clip/visual-base-dyn.onnx")?
         .with_i00((1, 1, 4).into())
         .with_profile(false);
 
     // textual
     let options_textual = Options::default()
-        .with_model("clip-b32-textual-dyn.onnx")?
-        // .with_tokenizer("tokenizer-clip.json")?
+        .with_model("clip/textual-base-dyn.onnx")?
+        .with_tokenizer("clip/tokenizer.json")?
         .with_i00((1, 1, 4).into())
         .with_profile(false);
 
@@ -30,9 +30,7 @@ fn main() -> Result<(), Box<dyn std::error::Error>> {
     let feats_text = model.encode_texts(&texts)?; // [n, ndim]
 
     // load image
-    let dl = DataLoader::default()
-        .with_batch(model.batch_visual())
-        .load("./examples/clip/images")?;
+    let dl = DataLoader::new("./examples/clip/images")?.build()?;
 
     // loop
     for (images, paths) in dl {