From e3b71851e6d2c9eb51bb9978e7b025386d336f61 Mon Sep 17 00:00:00 2001
From: Laurent Mazare <laurent.mazare@gmail.com>
Date: Mon, 21 Aug 2023 10:55:09 +0100
Subject: [PATCH] Retrieve the yolo-v3 weights from the hub. (#537)

---
 candle-examples/examples/yolo-v3/main.rs | 36 +++++++++++++++++++++---
 1 file changed, 32 insertions(+), 4 deletions(-)

diff --git a/candle-examples/examples/yolo-v3/main.rs b/candle-examples/examples/yolo-v3/main.rs
index a52f731c..0c7bdd7b 100644
--- a/candle-examples/examples/yolo-v3/main.rs
+++ b/candle-examples/examples/yolo-v3/main.rs
@@ -130,22 +130,50 @@ pub fn report(pred: &Tensor, img: DynamicImage, w: usize, h: usize) -> Result<Dy
 struct Args {
     /// Model weights, in safetensors format.
     #[arg(long)]
-    model: String,
+    model: Option<String>,
 
     #[arg(long)]
-    config: String,
+    config: Option<String>,
 
     images: Vec<String>,
 }
 
+impl Args {
+    fn config(&self) -> anyhow::Result<std::path::PathBuf> {
+        let path = match &self.config {
+            Some(config) => std::path::PathBuf::from(config),
+            None => {
+                let api = hf_hub::api::sync::Api::new()?;
+                let api = api.model("lmz/candle-yolo-v3".to_string());
+                api.get("yolo-v3.cfg")?
+            }
+        };
+        Ok(path)
+    }
+
+    fn model(&self) -> anyhow::Result<std::path::PathBuf> {
+        let path = match &self.model {
+            Some(model) => std::path::PathBuf::from(model),
+            None => {
+                let api = hf_hub::api::sync::Api::new()?;
+                let api = api.model("lmz/candle-yolo-v3".to_string());
+                api.get("yolo-v3.safetensors")?
+            }
+        };
+        Ok(path)
+    }
+}
+
 pub fn main() -> Result<()> {
     let args = Args::parse();
 
     // Create the model and load the weights from the file.
-    let weights = unsafe { candle::safetensors::MmapedFile::new(&args.model)? };
+    let model = args.model()?;
+    let weights = unsafe { candle::safetensors::MmapedFile::new(model)? };
     let weights = weights.deserialize()?;
     let vb = VarBuilder::from_safetensors(vec![weights], DType::F32, &Device::Cpu);
-    let darknet = darknet::parse_config(&args.config)?;
+    let config = args.config()?;
+    let darknet = darknet::parse_config(config)?;
     let model = darknet.build_model(vb)?;
 
     for image_name in args.images.iter() {