Jericko De Guzman

Hi, I was experimenting with the aquarium dataset using Google Colab. I had same result as yours when `--imgsz 640` which is according to the script is by default. However,...

Hi, I tried adding `--square-training` with `--imgsz 320` and the mAPs were still inconsistent as they still varied. Here are the results: From wandfb: wandb: Waiting for W&B process to...

Hi. I tried again with `--imgsz 640` with `--square-training`. The mAPs were relatively close to each other by decimal point amount. However, when I adjust the value to `--imgsz 160`,...

Sure. This is for the `train.log` that was generated when the training was resumed. For the previously experimented and observed `--imgsz 320` with `--square-training`, the mAPs from the `train.log` file...

Okay, thank you very much.

Hi. Thanks for your update. May I ask how did you use **Torchmetrics** to get the correct mAP metrics when the image size is less than 640? So I can...

Hi, I tried using the script you provided and had this output: `Latency eval Checkpoint stats: {'throughput_eval': 31.124873192969257, 'latency_eval_mean': 129.15063619613647, 'latency_eval_90': 137.2121572494507, 'latency_eval_95': 152.260422706604, 'latency_eval_99': 166.06466293334964}` May I ask where...