| import ir_measures | |
| from ir_measures import * | |
| import pandas as pd | |
| qrels = ir_measures.read_trec_qrels('devset_qrel.csv') | |
| vitb = ir_measures.read_trec_run('runs/ViT-B-32.laion2b_e16.t2i.trec') | |
| vitl = ir_measures.read_trec_run('runs/ViT-L-14.laion2b_s32b_b82k.t2i.trec') | |
| vith = ir_measures.read_trec_run('runs/ViT-H-14.laion2b_s32b_b79k.t2i.trec') | |
| vitg = ir_measures.read_trec_run('runs/ViT-bigG-14.laion2b_s39b_b160k.t2i.trec') | |
| splade = ir_measures.read_trec_run('runs/splade-cocondenser-ensembledistil.trec') | |
| fusionvit = ir_measures.read_trec_run('runs/fusion_vit.trec') | |
| fusion_all = ir_measures.read_trec_run('runs/fusion_all.trec') | |
| fusion_vitg_splade = ir_measures.read_trec_run('runs/fusion_vitg_splade.trec') | |
| evaluator = ir_measures.evaluator([nDCG@10, MRR(rel=3)@10, P(rel=2)@5,P(rel=3)@5, Success(rel=2)@10, Success(rel=3)@10, Rprec(rel=2)], qrels) | |
| results = dict() | |
| results["VIT-B"] = evaluator.calc_aggregate(vitb) | |
| results["VIT-L"] = evaluator.calc_aggregate(vitl) | |
| results["VIT-H"] = evaluator.calc_aggregate(vith) | |
| results["VIT-G"] = evaluator.calc_aggregate(vitg) | |
| results["SPLADE"] = evaluator.calc_aggregate(splade) | |
| results["Fusion-Vit"] = evaluator.calc_aggregate(fusionvit) | |
| results["Fusion-All"] = evaluator.calc_aggregate(fusion_all) | |
| results["Fusion-G+SPLADE"] = evaluator.calc_aggregate(fusion_vitg_splade) | |
| pd.DataFrame(results).T.to_excel("results.xlsx") |